F1000Prime recommended articles and their citations: an exploratory study of four journals
Abstract This study examined F1000Prime recommended research and review articles published in Cell, JAMA: The Journal of the American Medical Association, The Lancet, and The New England Journal of Medicine (NEJM) in 2010. The analyses included (1) the classifications assigned to the articles; (2) d...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Wang, Peiling [verfasserIn] Williams, Joshua [verfasserIn] Zhang, Nan [verfasserIn] Wu, Qiang [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2019 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Scientometrics - Dordrecht [u.a.] : Springer Science + Business Media B.V., 1978, 122(2019), 2 vom: 30. Nov., Seite 933-955 |
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| Übergeordnetes Werk: |
volume:122 ; year:2019 ; number:2 ; day:30 ; month:11 ; pages:933-955 |
| Links: |
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| DOI / URN: |
10.1007/s11192-019-03302-w |
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| Katalog-ID: |
SPR017623650 |
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| 520 | |a Abstract This study examined F1000Prime recommended research and review articles published in Cell, JAMA: The Journal of the American Medical Association, The Lancet, and The New England Journal of Medicine (NEJM) in 2010. The analyses included (1) the classifications assigned to the articles; (2) differences in Web of Science (WoS) citation counts over 9 years between the articles with F1000Prime recommendations and the other articles of the same journal; (3) correlations between the F1000Prime rating scores and WoS citation counts; (4) scaled graphic comparisons of the two measures; (5) content analysis of the top 5 WoS cited and top 5 F1000Prime scored NEJM articles. The results show that most of the recommended articles were classified as New Finding, Clinical Trial, Conformation, Interesting Hypothesis, and Technical Advance. The top classifications differred between the medical journals (JAMA, The Lancet, and NEJM) and the biology journal (Cell); for the latter, both New Finding and Interesting Hypothesis occurred more frequently than the three medical journals. The articles recommended by F1000 Faculty members were cited significantly more than other articles of the same journal for the three medical journals, but no significance was found between the two sets of articles in Cell. The correlations between the F1000Prime rating scores and WoS citation counts of the articles in the same journal were significant for the two medical journals (The Lancet and NEJM) and the biology journal (Cell). NEJM showed significances in both the upper quantile (top 50%), and the upper quartile (top 25%) sets. One of the medical journals, JAMA, did not show any significant correlation between the two measures. Despite the significant correlations of the three journals, Min–Max scaled graphic comparisons of the two measures did not reveal any patterns for predicting citation trends by F1000Prime rating scores. The peak citation year of the articles ranged from 2 to 8 years after the publication year for NEJM. Content analysis of the top-cited and top-scored NEJM articles found that highly commendable papers with comments such as “exceptional,” “landmark study,” or “paradigm shift” received varied rating scores. In comparison, some of the results corroborate with previous studies. Further studies are suggested to include additional journals and different years as well as alternative methods. Studies are needed to understand how F1000 Faculty assign ratings and what criteria they use. In addition, it is also worth investigating how F1000Prime users perceive the meanings of the ratings. | ||
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| 650 | 4 | |a Scaled comparisons |7 (dpeaa)DE-He213 | |
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10.1007/s11192-019-03302-w doi (DE-627)SPR017623650 (SPR)s11192-019-03302-w-e DE-627 ger DE-627 rakwb eng 050 370 ASE 31.00 bkl Wang, Peiling verfasserin aut F1000Prime recommended articles and their citations: an exploratory study of four journals 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract This study examined F1000Prime recommended research and review articles published in Cell, JAMA: The Journal of the American Medical Association, The Lancet, and The New England Journal of Medicine (NEJM) in 2010. The analyses included (1) the classifications assigned to the articles; (2) differences in Web of Science (WoS) citation counts over 9 years between the articles with F1000Prime recommendations and the other articles of the same journal; (3) correlations between the F1000Prime rating scores and WoS citation counts; (4) scaled graphic comparisons of the two measures; (5) content analysis of the top 5 WoS cited and top 5 F1000Prime scored NEJM articles. The results show that most of the recommended articles were classified as New Finding, Clinical Trial, Conformation, Interesting Hypothesis, and Technical Advance. The top classifications differred between the medical journals (JAMA, The Lancet, and NEJM) and the biology journal (Cell); for the latter, both New Finding and Interesting Hypothesis occurred more frequently than the three medical journals. The articles recommended by F1000 Faculty members were cited significantly more than other articles of the same journal for the three medical journals, but no significance was found between the two sets of articles in Cell. The correlations between the F1000Prime rating scores and WoS citation counts of the articles in the same journal were significant for the two medical journals (The Lancet and NEJM) and the biology journal (Cell). NEJM showed significances in both the upper quantile (top 50%), and the upper quartile (top 25%) sets. One of the medical journals, JAMA, did not show any significant correlation between the two measures. Despite the significant correlations of the three journals, Min–Max scaled graphic comparisons of the two measures did not reveal any patterns for predicting citation trends by F1000Prime rating scores. The peak citation year of the articles ranged from 2 to 8 years after the publication year for NEJM. Content analysis of the top-cited and top-scored NEJM articles found that highly commendable papers with comments such as “exceptional,” “landmark study,” or “paradigm shift” received varied rating scores. In comparison, some of the results corroborate with previous studies. Further studies are suggested to include additional journals and different years as well as alternative methods. Studies are needed to understand how F1000 Faculty assign ratings and what criteria they use. In addition, it is also worth investigating how F1000Prime users perceive the meanings of the ratings. F1000Prime rating scores (dpeaa)DE-He213 F1000 Faculty (dpeaa)DE-He213 Citation analysis (dpeaa)DE-He213 Post-publication peer recommendation (dpeaa)DE-He213 Expert recommendation (dpeaa)DE-He213 Scaled comparisons (dpeaa)DE-He213 Content analaysis of F1000Prime comments (dpeaa)DE-He213 Williams, Joshua verfasserin aut Zhang, Nan verfasserin aut Wu, Qiang verfasserin aut Enthalten in Scientometrics Dordrecht [u.a.] : Springer Science + Business Media B.V., 1978 122(2019), 2 vom: 30. Nov., Seite 933-955 (DE-627)320589099 (DE-600)2018679-4 1588-2861 nnns volume:122 year:2019 number:2 day:30 month:11 pages:933-955 https://dx.doi.org/10.1007/s11192-019-03302-w kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-MAT SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 31.00 ASE AR 122 2019 2 30 11 933-955 |
| spelling |
10.1007/s11192-019-03302-w doi (DE-627)SPR017623650 (SPR)s11192-019-03302-w-e DE-627 ger DE-627 rakwb eng 050 370 ASE 31.00 bkl Wang, Peiling verfasserin aut F1000Prime recommended articles and their citations: an exploratory study of four journals 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract This study examined F1000Prime recommended research and review articles published in Cell, JAMA: The Journal of the American Medical Association, The Lancet, and The New England Journal of Medicine (NEJM) in 2010. The analyses included (1) the classifications assigned to the articles; (2) differences in Web of Science (WoS) citation counts over 9 years between the articles with F1000Prime recommendations and the other articles of the same journal; (3) correlations between the F1000Prime rating scores and WoS citation counts; (4) scaled graphic comparisons of the two measures; (5) content analysis of the top 5 WoS cited and top 5 F1000Prime scored NEJM articles. The results show that most of the recommended articles were classified as New Finding, Clinical Trial, Conformation, Interesting Hypothesis, and Technical Advance. The top classifications differred between the medical journals (JAMA, The Lancet, and NEJM) and the biology journal (Cell); for the latter, both New Finding and Interesting Hypothesis occurred more frequently than the three medical journals. The articles recommended by F1000 Faculty members were cited significantly more than other articles of the same journal for the three medical journals, but no significance was found between the two sets of articles in Cell. The correlations between the F1000Prime rating scores and WoS citation counts of the articles in the same journal were significant for the two medical journals (The Lancet and NEJM) and the biology journal (Cell). NEJM showed significances in both the upper quantile (top 50%), and the upper quartile (top 25%) sets. One of the medical journals, JAMA, did not show any significant correlation between the two measures. Despite the significant correlations of the three journals, Min–Max scaled graphic comparisons of the two measures did not reveal any patterns for predicting citation trends by F1000Prime rating scores. The peak citation year of the articles ranged from 2 to 8 years after the publication year for NEJM. Content analysis of the top-cited and top-scored NEJM articles found that highly commendable papers with comments such as “exceptional,” “landmark study,” or “paradigm shift” received varied rating scores. In comparison, some of the results corroborate with previous studies. Further studies are suggested to include additional journals and different years as well as alternative methods. Studies are needed to understand how F1000 Faculty assign ratings and what criteria they use. In addition, it is also worth investigating how F1000Prime users perceive the meanings of the ratings. F1000Prime rating scores (dpeaa)DE-He213 F1000 Faculty (dpeaa)DE-He213 Citation analysis (dpeaa)DE-He213 Post-publication peer recommendation (dpeaa)DE-He213 Expert recommendation (dpeaa)DE-He213 Scaled comparisons (dpeaa)DE-He213 Content analaysis of F1000Prime comments (dpeaa)DE-He213 Williams, Joshua verfasserin aut Zhang, Nan verfasserin aut Wu, Qiang verfasserin aut Enthalten in Scientometrics Dordrecht [u.a.] : Springer Science + Business Media B.V., 1978 122(2019), 2 vom: 30. Nov., Seite 933-955 (DE-627)320589099 (DE-600)2018679-4 1588-2861 nnns volume:122 year:2019 number:2 day:30 month:11 pages:933-955 https://dx.doi.org/10.1007/s11192-019-03302-w kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-MAT SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 31.00 ASE AR 122 2019 2 30 11 933-955 |
| allfields_unstemmed |
10.1007/s11192-019-03302-w doi (DE-627)SPR017623650 (SPR)s11192-019-03302-w-e DE-627 ger DE-627 rakwb eng 050 370 ASE 31.00 bkl Wang, Peiling verfasserin aut F1000Prime recommended articles and their citations: an exploratory study of four journals 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract This study examined F1000Prime recommended research and review articles published in Cell, JAMA: The Journal of the American Medical Association, The Lancet, and The New England Journal of Medicine (NEJM) in 2010. The analyses included (1) the classifications assigned to the articles; (2) differences in Web of Science (WoS) citation counts over 9 years between the articles with F1000Prime recommendations and the other articles of the same journal; (3) correlations between the F1000Prime rating scores and WoS citation counts; (4) scaled graphic comparisons of the two measures; (5) content analysis of the top 5 WoS cited and top 5 F1000Prime scored NEJM articles. The results show that most of the recommended articles were classified as New Finding, Clinical Trial, Conformation, Interesting Hypothesis, and Technical Advance. The top classifications differred between the medical journals (JAMA, The Lancet, and NEJM) and the biology journal (Cell); for the latter, both New Finding and Interesting Hypothesis occurred more frequently than the three medical journals. The articles recommended by F1000 Faculty members were cited significantly more than other articles of the same journal for the three medical journals, but no significance was found between the two sets of articles in Cell. The correlations between the F1000Prime rating scores and WoS citation counts of the articles in the same journal were significant for the two medical journals (The Lancet and NEJM) and the biology journal (Cell). NEJM showed significances in both the upper quantile (top 50%), and the upper quartile (top 25%) sets. One of the medical journals, JAMA, did not show any significant correlation between the two measures. Despite the significant correlations of the three journals, Min–Max scaled graphic comparisons of the two measures did not reveal any patterns for predicting citation trends by F1000Prime rating scores. The peak citation year of the articles ranged from 2 to 8 years after the publication year for NEJM. Content analysis of the top-cited and top-scored NEJM articles found that highly commendable papers with comments such as “exceptional,” “landmark study,” or “paradigm shift” received varied rating scores. In comparison, some of the results corroborate with previous studies. Further studies are suggested to include additional journals and different years as well as alternative methods. Studies are needed to understand how F1000 Faculty assign ratings and what criteria they use. In addition, it is also worth investigating how F1000Prime users perceive the meanings of the ratings. F1000Prime rating scores (dpeaa)DE-He213 F1000 Faculty (dpeaa)DE-He213 Citation analysis (dpeaa)DE-He213 Post-publication peer recommendation (dpeaa)DE-He213 Expert recommendation (dpeaa)DE-He213 Scaled comparisons (dpeaa)DE-He213 Content analaysis of F1000Prime comments (dpeaa)DE-He213 Williams, Joshua verfasserin aut Zhang, Nan verfasserin aut Wu, Qiang verfasserin aut Enthalten in Scientometrics Dordrecht [u.a.] : Springer Science + Business Media B.V., 1978 122(2019), 2 vom: 30. Nov., Seite 933-955 (DE-627)320589099 (DE-600)2018679-4 1588-2861 nnns volume:122 year:2019 number:2 day:30 month:11 pages:933-955 https://dx.doi.org/10.1007/s11192-019-03302-w kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-MAT SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 31.00 ASE AR 122 2019 2 30 11 933-955 |
| allfieldsGer |
10.1007/s11192-019-03302-w doi (DE-627)SPR017623650 (SPR)s11192-019-03302-w-e DE-627 ger DE-627 rakwb eng 050 370 ASE 31.00 bkl Wang, Peiling verfasserin aut F1000Prime recommended articles and their citations: an exploratory study of four journals 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract This study examined F1000Prime recommended research and review articles published in Cell, JAMA: The Journal of the American Medical Association, The Lancet, and The New England Journal of Medicine (NEJM) in 2010. The analyses included (1) the classifications assigned to the articles; (2) differences in Web of Science (WoS) citation counts over 9 years between the articles with F1000Prime recommendations and the other articles of the same journal; (3) correlations between the F1000Prime rating scores and WoS citation counts; (4) scaled graphic comparisons of the two measures; (5) content analysis of the top 5 WoS cited and top 5 F1000Prime scored NEJM articles. The results show that most of the recommended articles were classified as New Finding, Clinical Trial, Conformation, Interesting Hypothesis, and Technical Advance. The top classifications differred between the medical journals (JAMA, The Lancet, and NEJM) and the biology journal (Cell); for the latter, both New Finding and Interesting Hypothesis occurred more frequently than the three medical journals. The articles recommended by F1000 Faculty members were cited significantly more than other articles of the same journal for the three medical journals, but no significance was found between the two sets of articles in Cell. The correlations between the F1000Prime rating scores and WoS citation counts of the articles in the same journal were significant for the two medical journals (The Lancet and NEJM) and the biology journal (Cell). NEJM showed significances in both the upper quantile (top 50%), and the upper quartile (top 25%) sets. One of the medical journals, JAMA, did not show any significant correlation between the two measures. Despite the significant correlations of the three journals, Min–Max scaled graphic comparisons of the two measures did not reveal any patterns for predicting citation trends by F1000Prime rating scores. The peak citation year of the articles ranged from 2 to 8 years after the publication year for NEJM. Content analysis of the top-cited and top-scored NEJM articles found that highly commendable papers with comments such as “exceptional,” “landmark study,” or “paradigm shift” received varied rating scores. In comparison, some of the results corroborate with previous studies. Further studies are suggested to include additional journals and different years as well as alternative methods. Studies are needed to understand how F1000 Faculty assign ratings and what criteria they use. In addition, it is also worth investigating how F1000Prime users perceive the meanings of the ratings. F1000Prime rating scores (dpeaa)DE-He213 F1000 Faculty (dpeaa)DE-He213 Citation analysis (dpeaa)DE-He213 Post-publication peer recommendation (dpeaa)DE-He213 Expert recommendation (dpeaa)DE-He213 Scaled comparisons (dpeaa)DE-He213 Content analaysis of F1000Prime comments (dpeaa)DE-He213 Williams, Joshua verfasserin aut Zhang, Nan verfasserin aut Wu, Qiang verfasserin aut Enthalten in Scientometrics Dordrecht [u.a.] : Springer Science + Business Media B.V., 1978 122(2019), 2 vom: 30. Nov., Seite 933-955 (DE-627)320589099 (DE-600)2018679-4 1588-2861 nnns volume:122 year:2019 number:2 day:30 month:11 pages:933-955 https://dx.doi.org/10.1007/s11192-019-03302-w kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-MAT SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 31.00 ASE AR 122 2019 2 30 11 933-955 |
| allfieldsSound |
10.1007/s11192-019-03302-w doi (DE-627)SPR017623650 (SPR)s11192-019-03302-w-e DE-627 ger DE-627 rakwb eng 050 370 ASE 31.00 bkl Wang, Peiling verfasserin aut F1000Prime recommended articles and their citations: an exploratory study of four journals 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract This study examined F1000Prime recommended research and review articles published in Cell, JAMA: The Journal of the American Medical Association, The Lancet, and The New England Journal of Medicine (NEJM) in 2010. The analyses included (1) the classifications assigned to the articles; (2) differences in Web of Science (WoS) citation counts over 9 years between the articles with F1000Prime recommendations and the other articles of the same journal; (3) correlations between the F1000Prime rating scores and WoS citation counts; (4) scaled graphic comparisons of the two measures; (5) content analysis of the top 5 WoS cited and top 5 F1000Prime scored NEJM articles. The results show that most of the recommended articles were classified as New Finding, Clinical Trial, Conformation, Interesting Hypothesis, and Technical Advance. The top classifications differred between the medical journals (JAMA, The Lancet, and NEJM) and the biology journal (Cell); for the latter, both New Finding and Interesting Hypothesis occurred more frequently than the three medical journals. The articles recommended by F1000 Faculty members were cited significantly more than other articles of the same journal for the three medical journals, but no significance was found between the two sets of articles in Cell. The correlations between the F1000Prime rating scores and WoS citation counts of the articles in the same journal were significant for the two medical journals (The Lancet and NEJM) and the biology journal (Cell). NEJM showed significances in both the upper quantile (top 50%), and the upper quartile (top 25%) sets. One of the medical journals, JAMA, did not show any significant correlation between the two measures. Despite the significant correlations of the three journals, Min–Max scaled graphic comparisons of the two measures did not reveal any patterns for predicting citation trends by F1000Prime rating scores. The peak citation year of the articles ranged from 2 to 8 years after the publication year for NEJM. Content analysis of the top-cited and top-scored NEJM articles found that highly commendable papers with comments such as “exceptional,” “landmark study,” or “paradigm shift” received varied rating scores. In comparison, some of the results corroborate with previous studies. Further studies are suggested to include additional journals and different years as well as alternative methods. Studies are needed to understand how F1000 Faculty assign ratings and what criteria they use. In addition, it is also worth investigating how F1000Prime users perceive the meanings of the ratings. F1000Prime rating scores (dpeaa)DE-He213 F1000 Faculty (dpeaa)DE-He213 Citation analysis (dpeaa)DE-He213 Post-publication peer recommendation (dpeaa)DE-He213 Expert recommendation (dpeaa)DE-He213 Scaled comparisons (dpeaa)DE-He213 Content analaysis of F1000Prime comments (dpeaa)DE-He213 Williams, Joshua verfasserin aut Zhang, Nan verfasserin aut Wu, Qiang verfasserin aut Enthalten in Scientometrics Dordrecht [u.a.] : Springer Science + Business Media B.V., 1978 122(2019), 2 vom: 30. Nov., Seite 933-955 (DE-627)320589099 (DE-600)2018679-4 1588-2861 nnns volume:122 year:2019 number:2 day:30 month:11 pages:933-955 https://dx.doi.org/10.1007/s11192-019-03302-w kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-MAT SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 31.00 ASE AR 122 2019 2 30 11 933-955 |
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The analyses included (1) the classifications assigned to the articles; (2) differences in Web of Science (WoS) citation counts over 9 years between the articles with F1000Prime recommendations and the other articles of the same journal; (3) correlations between the F1000Prime rating scores and WoS citation counts; (4) scaled graphic comparisons of the two measures; (5) content analysis of the top 5 WoS cited and top 5 F1000Prime scored NEJM articles. The results show that most of the recommended articles were classified as New Finding, Clinical Trial, Conformation, Interesting Hypothesis, and Technical Advance. The top classifications differred between the medical journals (JAMA, The Lancet, and NEJM) and the biology journal (Cell); for the latter, both New Finding and Interesting Hypothesis occurred more frequently than the three medical journals. The articles recommended by F1000 Faculty members were cited significantly more than other articles of the same journal for the three medical journals, but no significance was found between the two sets of articles in Cell. The correlations between the F1000Prime rating scores and WoS citation counts of the articles in the same journal were significant for the two medical journals (The Lancet and NEJM) and the biology journal (Cell). NEJM showed significances in both the upper quantile (top 50%), and the upper quartile (top 25%) sets. One of the medical journals, JAMA, did not show any significant correlation between the two measures. Despite the significant correlations of the three journals, Min–Max scaled graphic comparisons of the two measures did not reveal any patterns for predicting citation trends by F1000Prime rating scores. The peak citation year of the articles ranged from 2 to 8 years after the publication year for NEJM. Content analysis of the top-cited and top-scored NEJM articles found that highly commendable papers with comments such as “exceptional,” “landmark study,” or “paradigm shift” received varied rating scores. In comparison, some of the results corroborate with previous studies. Further studies are suggested to include additional journals and different years as well as alternative methods. Studies are needed to understand how F1000 Faculty assign ratings and what criteria they use. 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Wang, Peiling |
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f1000prime recommended articles and their citations: an exploratory study of four journals |
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F1000Prime recommended articles and their citations: an exploratory study of four journals |
| abstract |
Abstract This study examined F1000Prime recommended research and review articles published in Cell, JAMA: The Journal of the American Medical Association, The Lancet, and The New England Journal of Medicine (NEJM) in 2010. The analyses included (1) the classifications assigned to the articles; (2) differences in Web of Science (WoS) citation counts over 9 years between the articles with F1000Prime recommendations and the other articles of the same journal; (3) correlations between the F1000Prime rating scores and WoS citation counts; (4) scaled graphic comparisons of the two measures; (5) content analysis of the top 5 WoS cited and top 5 F1000Prime scored NEJM articles. The results show that most of the recommended articles were classified as New Finding, Clinical Trial, Conformation, Interesting Hypothesis, and Technical Advance. The top classifications differred between the medical journals (JAMA, The Lancet, and NEJM) and the biology journal (Cell); for the latter, both New Finding and Interesting Hypothesis occurred more frequently than the three medical journals. The articles recommended by F1000 Faculty members were cited significantly more than other articles of the same journal for the three medical journals, but no significance was found between the two sets of articles in Cell. The correlations between the F1000Prime rating scores and WoS citation counts of the articles in the same journal were significant for the two medical journals (The Lancet and NEJM) and the biology journal (Cell). NEJM showed significances in both the upper quantile (top 50%), and the upper quartile (top 25%) sets. One of the medical journals, JAMA, did not show any significant correlation between the two measures. Despite the significant correlations of the three journals, Min–Max scaled graphic comparisons of the two measures did not reveal any patterns for predicting citation trends by F1000Prime rating scores. The peak citation year of the articles ranged from 2 to 8 years after the publication year for NEJM. Content analysis of the top-cited and top-scored NEJM articles found that highly commendable papers with comments such as “exceptional,” “landmark study,” or “paradigm shift” received varied rating scores. In comparison, some of the results corroborate with previous studies. Further studies are suggested to include additional journals and different years as well as alternative methods. Studies are needed to understand how F1000 Faculty assign ratings and what criteria they use. In addition, it is also worth investigating how F1000Prime users perceive the meanings of the ratings. |
| abstractGer |
Abstract This study examined F1000Prime recommended research and review articles published in Cell, JAMA: The Journal of the American Medical Association, The Lancet, and The New England Journal of Medicine (NEJM) in 2010. The analyses included (1) the classifications assigned to the articles; (2) differences in Web of Science (WoS) citation counts over 9 years between the articles with F1000Prime recommendations and the other articles of the same journal; (3) correlations between the F1000Prime rating scores and WoS citation counts; (4) scaled graphic comparisons of the two measures; (5) content analysis of the top 5 WoS cited and top 5 F1000Prime scored NEJM articles. The results show that most of the recommended articles were classified as New Finding, Clinical Trial, Conformation, Interesting Hypothesis, and Technical Advance. The top classifications differred between the medical journals (JAMA, The Lancet, and NEJM) and the biology journal (Cell); for the latter, both New Finding and Interesting Hypothesis occurred more frequently than the three medical journals. The articles recommended by F1000 Faculty members were cited significantly more than other articles of the same journal for the three medical journals, but no significance was found between the two sets of articles in Cell. The correlations between the F1000Prime rating scores and WoS citation counts of the articles in the same journal were significant for the two medical journals (The Lancet and NEJM) and the biology journal (Cell). NEJM showed significances in both the upper quantile (top 50%), and the upper quartile (top 25%) sets. One of the medical journals, JAMA, did not show any significant correlation between the two measures. Despite the significant correlations of the three journals, Min–Max scaled graphic comparisons of the two measures did not reveal any patterns for predicting citation trends by F1000Prime rating scores. The peak citation year of the articles ranged from 2 to 8 years after the publication year for NEJM. Content analysis of the top-cited and top-scored NEJM articles found that highly commendable papers with comments such as “exceptional,” “landmark study,” or “paradigm shift” received varied rating scores. In comparison, some of the results corroborate with previous studies. Further studies are suggested to include additional journals and different years as well as alternative methods. Studies are needed to understand how F1000 Faculty assign ratings and what criteria they use. In addition, it is also worth investigating how F1000Prime users perceive the meanings of the ratings. |
| abstract_unstemmed |
Abstract This study examined F1000Prime recommended research and review articles published in Cell, JAMA: The Journal of the American Medical Association, The Lancet, and The New England Journal of Medicine (NEJM) in 2010. The analyses included (1) the classifications assigned to the articles; (2) differences in Web of Science (WoS) citation counts over 9 years between the articles with F1000Prime recommendations and the other articles of the same journal; (3) correlations between the F1000Prime rating scores and WoS citation counts; (4) scaled graphic comparisons of the two measures; (5) content analysis of the top 5 WoS cited and top 5 F1000Prime scored NEJM articles. The results show that most of the recommended articles were classified as New Finding, Clinical Trial, Conformation, Interesting Hypothesis, and Technical Advance. The top classifications differred between the medical journals (JAMA, The Lancet, and NEJM) and the biology journal (Cell); for the latter, both New Finding and Interesting Hypothesis occurred more frequently than the three medical journals. The articles recommended by F1000 Faculty members were cited significantly more than other articles of the same journal for the three medical journals, but no significance was found between the two sets of articles in Cell. The correlations between the F1000Prime rating scores and WoS citation counts of the articles in the same journal were significant for the two medical journals (The Lancet and NEJM) and the biology journal (Cell). NEJM showed significances in both the upper quantile (top 50%), and the upper quartile (top 25%) sets. One of the medical journals, JAMA, did not show any significant correlation between the two measures. Despite the significant correlations of the three journals, Min–Max scaled graphic comparisons of the two measures did not reveal any patterns for predicting citation trends by F1000Prime rating scores. The peak citation year of the articles ranged from 2 to 8 years after the publication year for NEJM. Content analysis of the top-cited and top-scored NEJM articles found that highly commendable papers with comments such as “exceptional,” “landmark study,” or “paradigm shift” received varied rating scores. In comparison, some of the results corroborate with previous studies. Further studies are suggested to include additional journals and different years as well as alternative methods. Studies are needed to understand how F1000 Faculty assign ratings and what criteria they use. In addition, it is also worth investigating how F1000Prime users perceive the meanings of the ratings. |
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| score |
7.400136 |