Acknowledgement network and citation count: the moderating role of collaboration network

Abstract The scholars mentioned in a paper’s acknowledgement (acknowledgees) play an important role in the paper’s development and citation count. However, there are exiguous studies have been conducted on the acknowledgees from a network perspective. Based on the social network theory, we propose t...
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Autor*in:	Tian, Shanwu [verfasserIn] Xu, Xiurui [verfasserIn] Li, Ping [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	Acknowledgement network Collaboration network Knowledge flows Citation count Wind energy industry

Anmerkung:	© Akadémiai Kiadó, Budapest, Hungary 2021

Übergeordnetes Werk:	Enthalten in: Scientometrics - Dordrecht [u.a.] : Springer Science + Business Media B.V., 1978, 126(2021), 9 vom: 10. Juli, Seite 7837-7857
Übergeordnetes Werk:	volume:126 ; year:2021 ; number:9 ; day:10 ; month:07 ; pages:7837-7857

Links:	Volltext

DOI / URN:	10.1007/s11192-021-04090-y

Katalog-ID:	SPR044835450

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520			\|a Abstract The scholars mentioned in a paper’s acknowledgement (acknowledgees) play an important role in the paper’s development and citation count. However, there are exiguous studies have been conducted on the acknowledgees from a network perspective. Based on the social network theory, we propose that the citation count of a paper is greatly affected by the acknowledgement network. The collaboration network is expected to negatively moderate the relationship between acknowledgement network and citation count. We establish the acknowledgement network with nodes as acknowledgees and authors, and ties as acknowledgement relationship between them. Using the bibliographic data of scientific articles from 2008 to 2010 in the field of wind energy as sample, which is provided by Web of Science Core Collection database, we build both acknowledgement network and collaboration network. Negative binomial regression model and several robustness tests are used as our research methods. The results show that acknowledgees’ centrality in the acknowledgement network has a positive effect on citation count. The authors’ centrality in the collaboration network negatively moderates the relationship between acknowledgees’ centrality and citation count. Specifically, the higher the author’s centrality in the collaboration network, the more likely the effect of acknowledgees’ centrality on the paper’s citation count will be inhibited. Finally, the theoretical and methodological contributions as well as practical implications are discussed.
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allfields	10.1007/s11192-021-04090-y doi (DE-627)SPR044835450 (SPR)s11192-021-04090-y-e DE-627 ger DE-627 rakwb eng 050 370 ASE 31.00 bkl Tian, Shanwu verfasserin aut Acknowledgement network and citation count: the moderating role of collaboration network 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Akadémiai Kiadó, Budapest, Hungary 2021 Abstract The scholars mentioned in a paper’s acknowledgement (acknowledgees) play an important role in the paper’s development and citation count. However, there are exiguous studies have been conducted on the acknowledgees from a network perspective. Based on the social network theory, we propose that the citation count of a paper is greatly affected by the acknowledgement network. The collaboration network is expected to negatively moderate the relationship between acknowledgement network and citation count. We establish the acknowledgement network with nodes as acknowledgees and authors, and ties as acknowledgement relationship between them. Using the bibliographic data of scientific articles from 2008 to 2010 in the field of wind energy as sample, which is provided by Web of Science Core Collection database, we build both acknowledgement network and collaboration network. Negative binomial regression model and several robustness tests are used as our research methods. The results show that acknowledgees’ centrality in the acknowledgement network has a positive effect on citation count. The authors’ centrality in the collaboration network negatively moderates the relationship between acknowledgees’ centrality and citation count. Specifically, the higher the author’s centrality in the collaboration network, the more likely the effect of acknowledgees’ centrality on the paper’s citation count will be inhibited. Finally, the theoretical and methodological contributions as well as practical implications are discussed. Acknowledgement network (dpeaa)DE-He213 Collaboration network (dpeaa)DE-He213 Knowledge flows (dpeaa)DE-He213 Citation count (dpeaa)DE-He213 Wind energy industry (dpeaa)DE-He213 Xu, Xiurui verfasserin aut Li, Ping verfasserin aut Enthalten in Scientometrics Dordrecht [u.a.] : Springer Science + Business Media B.V., 1978 126(2021), 9 vom: 10. Juli, Seite 7837-7857 (DE-627)320589099 (DE-600)2018679-4 1588-2861 nnns volume:126 year:2021 number:9 day:10 month:07 pages:7837-7857 https://dx.doi.org/10.1007/s11192-021-04090-y lizenzpflichtig 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_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_2118 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_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 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 126 2021 9 10 07 7837-7857
spelling	10.1007/s11192-021-04090-y doi (DE-627)SPR044835450 (SPR)s11192-021-04090-y-e DE-627 ger DE-627 rakwb eng 050 370 ASE 31.00 bkl Tian, Shanwu verfasserin aut Acknowledgement network and citation count: the moderating role of collaboration network 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Akadémiai Kiadó, Budapest, Hungary 2021 Abstract The scholars mentioned in a paper’s acknowledgement (acknowledgees) play an important role in the paper’s development and citation count. However, there are exiguous studies have been conducted on the acknowledgees from a network perspective. Based on the social network theory, we propose that the citation count of a paper is greatly affected by the acknowledgement network. The collaboration network is expected to negatively moderate the relationship between acknowledgement network and citation count. We establish the acknowledgement network with nodes as acknowledgees and authors, and ties as acknowledgement relationship between them. Using the bibliographic data of scientific articles from 2008 to 2010 in the field of wind energy as sample, which is provided by Web of Science Core Collection database, we build both acknowledgement network and collaboration network. Negative binomial regression model and several robustness tests are used as our research methods. The results show that acknowledgees’ centrality in the acknowledgement network has a positive effect on citation count. The authors’ centrality in the collaboration network negatively moderates the relationship between acknowledgees’ centrality and citation count. Specifically, the higher the author’s centrality in the collaboration network, the more likely the effect of acknowledgees’ centrality on the paper’s citation count will be inhibited. Finally, the theoretical and methodological contributions as well as practical implications are discussed. Acknowledgement network (dpeaa)DE-He213 Collaboration network (dpeaa)DE-He213 Knowledge flows (dpeaa)DE-He213 Citation count (dpeaa)DE-He213 Wind energy industry (dpeaa)DE-He213 Xu, Xiurui verfasserin aut Li, Ping verfasserin aut Enthalten in Scientometrics Dordrecht [u.a.] : Springer Science + Business Media B.V., 1978 126(2021), 9 vom: 10. Juli, Seite 7837-7857 (DE-627)320589099 (DE-600)2018679-4 1588-2861 nnns volume:126 year:2021 number:9 day:10 month:07 pages:7837-7857 https://dx.doi.org/10.1007/s11192-021-04090-y lizenzpflichtig 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_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_2118 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_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 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 126 2021 9 10 07 7837-7857
allfields_unstemmed	10.1007/s11192-021-04090-y doi (DE-627)SPR044835450 (SPR)s11192-021-04090-y-e DE-627 ger DE-627 rakwb eng 050 370 ASE 31.00 bkl Tian, Shanwu verfasserin aut Acknowledgement network and citation count: the moderating role of collaboration network 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Akadémiai Kiadó, Budapest, Hungary 2021 Abstract The scholars mentioned in a paper’s acknowledgement (acknowledgees) play an important role in the paper’s development and citation count. However, there are exiguous studies have been conducted on the acknowledgees from a network perspective. Based on the social network theory, we propose that the citation count of a paper is greatly affected by the acknowledgement network. The collaboration network is expected to negatively moderate the relationship between acknowledgement network and citation count. We establish the acknowledgement network with nodes as acknowledgees and authors, and ties as acknowledgement relationship between them. Using the bibliographic data of scientific articles from 2008 to 2010 in the field of wind energy as sample, which is provided by Web of Science Core Collection database, we build both acknowledgement network and collaboration network. Negative binomial regression model and several robustness tests are used as our research methods. The results show that acknowledgees’ centrality in the acknowledgement network has a positive effect on citation count. The authors’ centrality in the collaboration network negatively moderates the relationship between acknowledgees’ centrality and citation count. Specifically, the higher the author’s centrality in the collaboration network, the more likely the effect of acknowledgees’ centrality on the paper’s citation count will be inhibited. Finally, the theoretical and methodological contributions as well as practical implications are discussed. Acknowledgement network (dpeaa)DE-He213 Collaboration network (dpeaa)DE-He213 Knowledge flows (dpeaa)DE-He213 Citation count (dpeaa)DE-He213 Wind energy industry (dpeaa)DE-He213 Xu, Xiurui verfasserin aut Li, Ping verfasserin aut Enthalten in Scientometrics Dordrecht [u.a.] : Springer Science + Business Media B.V., 1978 126(2021), 9 vom: 10. Juli, Seite 7837-7857 (DE-627)320589099 (DE-600)2018679-4 1588-2861 nnns volume:126 year:2021 number:9 day:10 month:07 pages:7837-7857 https://dx.doi.org/10.1007/s11192-021-04090-y lizenzpflichtig 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_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_2118 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_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 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 126 2021 9 10 07 7837-7857
allfieldsGer	10.1007/s11192-021-04090-y doi (DE-627)SPR044835450 (SPR)s11192-021-04090-y-e DE-627 ger DE-627 rakwb eng 050 370 ASE 31.00 bkl Tian, Shanwu verfasserin aut Acknowledgement network and citation count: the moderating role of collaboration network 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Akadémiai Kiadó, Budapest, Hungary 2021 Abstract The scholars mentioned in a paper’s acknowledgement (acknowledgees) play an important role in the paper’s development and citation count. However, there are exiguous studies have been conducted on the acknowledgees from a network perspective. Based on the social network theory, we propose that the citation count of a paper is greatly affected by the acknowledgement network. The collaboration network is expected to negatively moderate the relationship between acknowledgement network and citation count. We establish the acknowledgement network with nodes as acknowledgees and authors, and ties as acknowledgement relationship between them. Using the bibliographic data of scientific articles from 2008 to 2010 in the field of wind energy as sample, which is provided by Web of Science Core Collection database, we build both acknowledgement network and collaboration network. Negative binomial regression model and several robustness tests are used as our research methods. The results show that acknowledgees’ centrality in the acknowledgement network has a positive effect on citation count. The authors’ centrality in the collaboration network negatively moderates the relationship between acknowledgees’ centrality and citation count. Specifically, the higher the author’s centrality in the collaboration network, the more likely the effect of acknowledgees’ centrality on the paper’s citation count will be inhibited. Finally, the theoretical and methodological contributions as well as practical implications are discussed. Acknowledgement network (dpeaa)DE-He213 Collaboration network (dpeaa)DE-He213 Knowledge flows (dpeaa)DE-He213 Citation count (dpeaa)DE-He213 Wind energy industry (dpeaa)DE-He213 Xu, Xiurui verfasserin aut Li, Ping verfasserin aut Enthalten in Scientometrics Dordrecht [u.a.] : Springer Science + Business Media B.V., 1978 126(2021), 9 vom: 10. Juli, Seite 7837-7857 (DE-627)320589099 (DE-600)2018679-4 1588-2861 nnns volume:126 year:2021 number:9 day:10 month:07 pages:7837-7857 https://dx.doi.org/10.1007/s11192-021-04090-y lizenzpflichtig 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_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_2118 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_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 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 126 2021 9 10 07 7837-7857
allfieldsSound	10.1007/s11192-021-04090-y doi (DE-627)SPR044835450 (SPR)s11192-021-04090-y-e DE-627 ger DE-627 rakwb eng 050 370 ASE 31.00 bkl Tian, Shanwu verfasserin aut Acknowledgement network and citation count: the moderating role of collaboration network 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Akadémiai Kiadó, Budapest, Hungary 2021 Abstract The scholars mentioned in a paper’s acknowledgement (acknowledgees) play an important role in the paper’s development and citation count. However, there are exiguous studies have been conducted on the acknowledgees from a network perspective. Based on the social network theory, we propose that the citation count of a paper is greatly affected by the acknowledgement network. The collaboration network is expected to negatively moderate the relationship between acknowledgement network and citation count. We establish the acknowledgement network with nodes as acknowledgees and authors, and ties as acknowledgement relationship between them. Using the bibliographic data of scientific articles from 2008 to 2010 in the field of wind energy as sample, which is provided by Web of Science Core Collection database, we build both acknowledgement network and collaboration network. Negative binomial regression model and several robustness tests are used as our research methods. The results show that acknowledgees’ centrality in the acknowledgement network has a positive effect on citation count. The authors’ centrality in the collaboration network negatively moderates the relationship between acknowledgees’ centrality and citation count. Specifically, the higher the author’s centrality in the collaboration network, the more likely the effect of acknowledgees’ centrality on the paper’s citation count will be inhibited. Finally, the theoretical and methodological contributions as well as practical implications are discussed. Acknowledgement network (dpeaa)DE-He213 Collaboration network (dpeaa)DE-He213 Knowledge flows (dpeaa)DE-He213 Citation count (dpeaa)DE-He213 Wind energy industry (dpeaa)DE-He213 Xu, Xiurui verfasserin aut Li, Ping verfasserin aut Enthalten in Scientometrics Dordrecht [u.a.] : Springer Science + Business Media B.V., 1978 126(2021), 9 vom: 10. Juli, Seite 7837-7857 (DE-627)320589099 (DE-600)2018679-4 1588-2861 nnns volume:126 year:2021 number:9 day:10 month:07 pages:7837-7857 https://dx.doi.org/10.1007/s11192-021-04090-y lizenzpflichtig 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_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_2118 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_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 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 126 2021 9 10 07 7837-7857
language	English
source	Enthalten in Scientometrics 126(2021), 9 vom: 10. Juli, Seite 7837-7857 volume:126 year:2021 number:9 day:10 month:07 pages:7837-7857
sourceStr	Enthalten in Scientometrics 126(2021), 9 vom: 10. Juli, Seite 7837-7857 volume:126 year:2021 number:9 day:10 month:07 pages:7837-7857
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Acknowledgement network Collaboration network Knowledge flows Citation count Wind energy industry
dewey-raw	050
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container_title	Scientometrics
authorswithroles_txt_mv	Tian, Shanwu @@aut@@ Xu, Xiurui @@aut@@ Li, Ping @@aut@@
publishDateDaySort_date	2021-07-10T00:00:00Z
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author	Tian, Shanwu
spellingShingle	Tian, Shanwu ddc 050 bkl 31.00 misc Acknowledgement network misc Collaboration network misc Knowledge flows misc Citation count misc Wind energy industry Acknowledgement network and citation count: the moderating role of collaboration network
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title	Acknowledgement network and citation count: the moderating role of collaboration network
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title_full	Acknowledgement network and citation count: the moderating role of collaboration network
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title_sort	acknowledgement network and citation count: the moderating role of collaboration network
title_auth	Acknowledgement network and citation count: the moderating role of collaboration network
abstract	Abstract The scholars mentioned in a paper’s acknowledgement (acknowledgees) play an important role in the paper’s development and citation count. However, there are exiguous studies have been conducted on the acknowledgees from a network perspective. Based on the social network theory, we propose that the citation count of a paper is greatly affected by the acknowledgement network. The collaboration network is expected to negatively moderate the relationship between acknowledgement network and citation count. We establish the acknowledgement network with nodes as acknowledgees and authors, and ties as acknowledgement relationship between them. Using the bibliographic data of scientific articles from 2008 to 2010 in the field of wind energy as sample, which is provided by Web of Science Core Collection database, we build both acknowledgement network and collaboration network. Negative binomial regression model and several robustness tests are used as our research methods. The results show that acknowledgees’ centrality in the acknowledgement network has a positive effect on citation count. The authors’ centrality in the collaboration network negatively moderates the relationship between acknowledgees’ centrality and citation count. Specifically, the higher the author’s centrality in the collaboration network, the more likely the effect of acknowledgees’ centrality on the paper’s citation count will be inhibited. Finally, the theoretical and methodological contributions as well as practical implications are discussed. © Akadémiai Kiadó, Budapest, Hungary 2021
abstractGer	Abstract The scholars mentioned in a paper’s acknowledgement (acknowledgees) play an important role in the paper’s development and citation count. However, there are exiguous studies have been conducted on the acknowledgees from a network perspective. Based on the social network theory, we propose that the citation count of a paper is greatly affected by the acknowledgement network. The collaboration network is expected to negatively moderate the relationship between acknowledgement network and citation count. We establish the acknowledgement network with nodes as acknowledgees and authors, and ties as acknowledgement relationship between them. Using the bibliographic data of scientific articles from 2008 to 2010 in the field of wind energy as sample, which is provided by Web of Science Core Collection database, we build both acknowledgement network and collaboration network. Negative binomial regression model and several robustness tests are used as our research methods. The results show that acknowledgees’ centrality in the acknowledgement network has a positive effect on citation count. The authors’ centrality in the collaboration network negatively moderates the relationship between acknowledgees’ centrality and citation count. Specifically, the higher the author’s centrality in the collaboration network, the more likely the effect of acknowledgees’ centrality on the paper’s citation count will be inhibited. Finally, the theoretical and methodological contributions as well as practical implications are discussed. © Akadémiai Kiadó, Budapest, Hungary 2021
abstract_unstemmed	Abstract The scholars mentioned in a paper’s acknowledgement (acknowledgees) play an important role in the paper’s development and citation count. However, there are exiguous studies have been conducted on the acknowledgees from a network perspective. Based on the social network theory, we propose that the citation count of a paper is greatly affected by the acknowledgement network. The collaboration network is expected to negatively moderate the relationship between acknowledgement network and citation count. We establish the acknowledgement network with nodes as acknowledgees and authors, and ties as acknowledgement relationship between them. Using the bibliographic data of scientific articles from 2008 to 2010 in the field of wind energy as sample, which is provided by Web of Science Core Collection database, we build both acknowledgement network and collaboration network. Negative binomial regression model and several robustness tests are used as our research methods. The results show that acknowledgees’ centrality in the acknowledgement network has a positive effect on citation count. The authors’ centrality in the collaboration network negatively moderates the relationship between acknowledgees’ centrality and citation count. Specifically, the higher the author’s centrality in the collaboration network, the more likely the effect of acknowledgees’ centrality on the paper’s citation count will be inhibited. Finally, the theoretical and methodological contributions as well as practical implications are discussed. © Akadémiai Kiadó, Budapest, Hungary 2021
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title_short	Acknowledgement network and citation count: the moderating role of collaboration network
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