Scientific rewards for biomedical specialization are large and persistent

Background While specialization plays an essential role in how scientific research is pursued, we understand little about its effects on a researcher’s impact and career. In particular, the extent to which one specializes within their chosen fields likely has complex relationships with productivity, career stage, and eventual impact. Here, we develop a novel and fine-grained approach for measuring a researcher’s level of specialization at each point in their career and apply it to the publication data of almost 30,000 established biomedical researchers to measure the effect that specialization has on the impact of a researcher’s publications. Results Using a within-researcher, panel-based econometric framework, we arrive at several important results. First, there are significant scientific rewards for specialization—25% more citations per standard deviation increase in specialization. Second, these benefits are much higher early in a researcher’s career—as large as 75% per standard deviation increase in specialization. Third, rewards are higher for researchers who publish few papers relative to their peers. Finally, we find that, all else equal, researchers who make large changes in their research direction see generally increased impact. Conclusions The extent to which one specializes, particularly at the early stages of a biomedical research career, appears to play a significant role in determining the citation-based impact of their publications. When this measure of impact is, implicitly or explicitly, an input into decision-making processes within the scientific system (for example, for job opportunities, promotions, or invited talks), these findings lead to some important implications for the system-level organization of scientific research and the incentives that exist therein. We propose several mechanisms within modern scientific systems that likely lead to the scientific rewards we observe and discuss them within the broader context of reward structures in biomedicine and science more generally. Ausführliche Beschreibung

Gespeichert in:

Autor*in:	de Rassenfosse, Gaétan [verfasserIn] Higham, Kyle Penner, Orion

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	Scientific specialization Scientific impact Scientific careers Science of science Bibliometrics Research systems

Anmerkung:	© The Author(s) 2022

Übergeordnetes Werk:	Enthalten in: BMC biology - Berlin : Springer, 2003, 20(2022), 1 vom: 30. Sept.
Übergeordnetes Werk:	volume:20 ; year:2022 ; number:1 ; day:30 ; month:09

Links:	Volltext

DOI / URN:	10.1186/s12915-022-01400-5

Katalog-ID:	SPR051024977

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allfields	10.1186/s12915-022-01400-5 doi (DE-627)SPR051024977 (SPR)s12915-022-01400-5-e DE-627 ger DE-627 rakwb eng de Rassenfosse, Gaétan verfasserin aut Scientific rewards for biomedical specialization are large and persistent 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Background While specialization plays an essential role in how scientific research is pursued, we understand little about its effects on a researcher’s impact and career. In particular, the extent to which one specializes within their chosen fields likely has complex relationships with productivity, career stage, and eventual impact. Here, we develop a novel and fine-grained approach for measuring a researcher’s level of specialization at each point in their career and apply it to the publication data of almost 30,000 established biomedical researchers to measure the effect that specialization has on the impact of a researcher’s publications. Results Using a within-researcher, panel-based econometric framework, we arrive at several important results. First, there are significant scientific rewards for specialization—25% more citations per standard deviation increase in specialization. Second, these benefits are much higher early in a researcher’s career—as large as 75% per standard deviation increase in specialization. Third, rewards are higher for researchers who publish few papers relative to their peers. Finally, we find that, all else equal, researchers who make large changes in their research direction see generally increased impact. Conclusions The extent to which one specializes, particularly at the early stages of a biomedical research career, appears to play a significant role in determining the citation-based impact of their publications. When this measure of impact is, implicitly or explicitly, an input into decision-making processes within the scientific system (for example, for job opportunities, promotions, or invited talks), these findings lead to some important implications for the system-level organization of scientific research and the incentives that exist therein. We propose several mechanisms within modern scientific systems that likely lead to the scientific rewards we observe and discuss them within the broader context of reward structures in biomedicine and science more generally. Scientific specialization (dpeaa)DE-He213 Scientific impact (dpeaa)DE-He213 Scientific careers (dpeaa)DE-He213 Science of science (dpeaa)DE-He213 Bibliometrics (dpeaa)DE-He213 Research systems (dpeaa)DE-He213 Higham, Kyle (orcid)0000-0002-8287-4101 aut Penner, Orion aut Enthalten in BMC biology Berlin : Springer, 2003 20(2022), 1 vom: 30. Sept. (DE-627)377757241 (DE-600)2133020-7 1741-7007 nnns volume:20 year:2022 number:1 day:30 month:09 https://dx.doi.org/10.1186/s12915-022-01400-5 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 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_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 20 2022 1 30 09
spelling	10.1186/s12915-022-01400-5 doi (DE-627)SPR051024977 (SPR)s12915-022-01400-5-e DE-627 ger DE-627 rakwb eng de Rassenfosse, Gaétan verfasserin aut Scientific rewards for biomedical specialization are large and persistent 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Background While specialization plays an essential role in how scientific research is pursued, we understand little about its effects on a researcher’s impact and career. In particular, the extent to which one specializes within their chosen fields likely has complex relationships with productivity, career stage, and eventual impact. Here, we develop a novel and fine-grained approach for measuring a researcher’s level of specialization at each point in their career and apply it to the publication data of almost 30,000 established biomedical researchers to measure the effect that specialization has on the impact of a researcher’s publications. Results Using a within-researcher, panel-based econometric framework, we arrive at several important results. First, there are significant scientific rewards for specialization—25% more citations per standard deviation increase in specialization. Second, these benefits are much higher early in a researcher’s career—as large as 75% per standard deviation increase in specialization. Third, rewards are higher for researchers who publish few papers relative to their peers. Finally, we find that, all else equal, researchers who make large changes in their research direction see generally increased impact. Conclusions The extent to which one specializes, particularly at the early stages of a biomedical research career, appears to play a significant role in determining the citation-based impact of their publications. When this measure of impact is, implicitly or explicitly, an input into decision-making processes within the scientific system (for example, for job opportunities, promotions, or invited talks), these findings lead to some important implications for the system-level organization of scientific research and the incentives that exist therein. We propose several mechanisms within modern scientific systems that likely lead to the scientific rewards we observe and discuss them within the broader context of reward structures in biomedicine and science more generally. Scientific specialization (dpeaa)DE-He213 Scientific impact (dpeaa)DE-He213 Scientific careers (dpeaa)DE-He213 Science of science (dpeaa)DE-He213 Bibliometrics (dpeaa)DE-He213 Research systems (dpeaa)DE-He213 Higham, Kyle (orcid)0000-0002-8287-4101 aut Penner, Orion aut Enthalten in BMC biology Berlin : Springer, 2003 20(2022), 1 vom: 30. Sept. (DE-627)377757241 (DE-600)2133020-7 1741-7007 nnns volume:20 year:2022 number:1 day:30 month:09 https://dx.doi.org/10.1186/s12915-022-01400-5 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 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_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 20 2022 1 30 09
allfields_unstemmed	10.1186/s12915-022-01400-5 doi (DE-627)SPR051024977 (SPR)s12915-022-01400-5-e DE-627 ger DE-627 rakwb eng de Rassenfosse, Gaétan verfasserin aut Scientific rewards for biomedical specialization are large and persistent 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Background While specialization plays an essential role in how scientific research is pursued, we understand little about its effects on a researcher’s impact and career. In particular, the extent to which one specializes within their chosen fields likely has complex relationships with productivity, career stage, and eventual impact. Here, we develop a novel and fine-grained approach for measuring a researcher’s level of specialization at each point in their career and apply it to the publication data of almost 30,000 established biomedical researchers to measure the effect that specialization has on the impact of a researcher’s publications. Results Using a within-researcher, panel-based econometric framework, we arrive at several important results. First, there are significant scientific rewards for specialization—25% more citations per standard deviation increase in specialization. Second, these benefits are much higher early in a researcher’s career—as large as 75% per standard deviation increase in specialization. Third, rewards are higher for researchers who publish few papers relative to their peers. Finally, we find that, all else equal, researchers who make large changes in their research direction see generally increased impact. Conclusions The extent to which one specializes, particularly at the early stages of a biomedical research career, appears to play a significant role in determining the citation-based impact of their publications. When this measure of impact is, implicitly or explicitly, an input into decision-making processes within the scientific system (for example, for job opportunities, promotions, or invited talks), these findings lead to some important implications for the system-level organization of scientific research and the incentives that exist therein. We propose several mechanisms within modern scientific systems that likely lead to the scientific rewards we observe and discuss them within the broader context of reward structures in biomedicine and science more generally. Scientific specialization (dpeaa)DE-He213 Scientific impact (dpeaa)DE-He213 Scientific careers (dpeaa)DE-He213 Science of science (dpeaa)DE-He213 Bibliometrics (dpeaa)DE-He213 Research systems (dpeaa)DE-He213 Higham, Kyle (orcid)0000-0002-8287-4101 aut Penner, Orion aut Enthalten in BMC biology Berlin : Springer, 2003 20(2022), 1 vom: 30. Sept. (DE-627)377757241 (DE-600)2133020-7 1741-7007 nnns volume:20 year:2022 number:1 day:30 month:09 https://dx.doi.org/10.1186/s12915-022-01400-5 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 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_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 20 2022 1 30 09
allfieldsGer	10.1186/s12915-022-01400-5 doi (DE-627)SPR051024977 (SPR)s12915-022-01400-5-e DE-627 ger DE-627 rakwb eng de Rassenfosse, Gaétan verfasserin aut Scientific rewards for biomedical specialization are large and persistent 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Background While specialization plays an essential role in how scientific research is pursued, we understand little about its effects on a researcher’s impact and career. In particular, the extent to which one specializes within their chosen fields likely has complex relationships with productivity, career stage, and eventual impact. Here, we develop a novel and fine-grained approach for measuring a researcher’s level of specialization at each point in their career and apply it to the publication data of almost 30,000 established biomedical researchers to measure the effect that specialization has on the impact of a researcher’s publications. Results Using a within-researcher, panel-based econometric framework, we arrive at several important results. First, there are significant scientific rewards for specialization—25% more citations per standard deviation increase in specialization. Second, these benefits are much higher early in a researcher’s career—as large as 75% per standard deviation increase in specialization. Third, rewards are higher for researchers who publish few papers relative to their peers. Finally, we find that, all else equal, researchers who make large changes in their research direction see generally increased impact. Conclusions The extent to which one specializes, particularly at the early stages of a biomedical research career, appears to play a significant role in determining the citation-based impact of their publications. When this measure of impact is, implicitly or explicitly, an input into decision-making processes within the scientific system (for example, for job opportunities, promotions, or invited talks), these findings lead to some important implications for the system-level organization of scientific research and the incentives that exist therein. We propose several mechanisms within modern scientific systems that likely lead to the scientific rewards we observe and discuss them within the broader context of reward structures in biomedicine and science more generally. Scientific specialization (dpeaa)DE-He213 Scientific impact (dpeaa)DE-He213 Scientific careers (dpeaa)DE-He213 Science of science (dpeaa)DE-He213 Bibliometrics (dpeaa)DE-He213 Research systems (dpeaa)DE-He213 Higham, Kyle (orcid)0000-0002-8287-4101 aut Penner, Orion aut Enthalten in BMC biology Berlin : Springer, 2003 20(2022), 1 vom: 30. Sept. (DE-627)377757241 (DE-600)2133020-7 1741-7007 nnns volume:20 year:2022 number:1 day:30 month:09 https://dx.doi.org/10.1186/s12915-022-01400-5 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 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_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 20 2022 1 30 09
allfieldsSound	10.1186/s12915-022-01400-5 doi (DE-627)SPR051024977 (SPR)s12915-022-01400-5-e DE-627 ger DE-627 rakwb eng de Rassenfosse, Gaétan verfasserin aut Scientific rewards for biomedical specialization are large and persistent 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Background While specialization plays an essential role in how scientific research is pursued, we understand little about its effects on a researcher’s impact and career. In particular, the extent to which one specializes within their chosen fields likely has complex relationships with productivity, career stage, and eventual impact. Here, we develop a novel and fine-grained approach for measuring a researcher’s level of specialization at each point in their career and apply it to the publication data of almost 30,000 established biomedical researchers to measure the effect that specialization has on the impact of a researcher’s publications. Results Using a within-researcher, panel-based econometric framework, we arrive at several important results. First, there are significant scientific rewards for specialization—25% more citations per standard deviation increase in specialization. Second, these benefits are much higher early in a researcher’s career—as large as 75% per standard deviation increase in specialization. Third, rewards are higher for researchers who publish few papers relative to their peers. Finally, we find that, all else equal, researchers who make large changes in their research direction see generally increased impact. Conclusions The extent to which one specializes, particularly at the early stages of a biomedical research career, appears to play a significant role in determining the citation-based impact of their publications. When this measure of impact is, implicitly or explicitly, an input into decision-making processes within the scientific system (for example, for job opportunities, promotions, or invited talks), these findings lead to some important implications for the system-level organization of scientific research and the incentives that exist therein. We propose several mechanisms within modern scientific systems that likely lead to the scientific rewards we observe and discuss them within the broader context of reward structures in biomedicine and science more generally. Scientific specialization (dpeaa)DE-He213 Scientific impact (dpeaa)DE-He213 Scientific careers (dpeaa)DE-He213 Science of science (dpeaa)DE-He213 Bibliometrics (dpeaa)DE-He213 Research systems (dpeaa)DE-He213 Higham, Kyle (orcid)0000-0002-8287-4101 aut Penner, Orion aut Enthalten in BMC biology Berlin : Springer, 2003 20(2022), 1 vom: 30. Sept. (DE-627)377757241 (DE-600)2133020-7 1741-7007 nnns volume:20 year:2022 number:1 day:30 month:09 https://dx.doi.org/10.1186/s12915-022-01400-5 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 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_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 20 2022 1 30 09
language	English
source	Enthalten in BMC biology 20(2022), 1 vom: 30. Sept. volume:20 year:2022 number:1 day:30 month:09
sourceStr	Enthalten in BMC biology 20(2022), 1 vom: 30. Sept. volume:20 year:2022 number:1 day:30 month:09
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Scientific specialization Scientific impact Scientific careers Science of science Bibliometrics Research systems
isfreeaccess_bool	true
container_title	BMC biology
authorswithroles_txt_mv	de Rassenfosse, Gaétan @@aut@@ Higham, Kyle @@aut@@ Penner, Orion @@aut@@
publishDateDaySort_date	2022-09-30T00:00:00Z
hierarchy_top_id	377757241
id	SPR051024977
language_de	englisch
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author	de Rassenfosse, Gaétan
spellingShingle	de Rassenfosse, Gaétan misc Scientific specialization misc Scientific impact misc Scientific careers misc Science of science misc Bibliometrics misc Research systems Scientific rewards for biomedical specialization are large and persistent
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topic_title	Scientific rewards for biomedical specialization are large and persistent Scientific specialization (dpeaa)DE-He213 Scientific impact (dpeaa)DE-He213 Scientific careers (dpeaa)DE-He213 Science of science (dpeaa)DE-He213 Bibliometrics (dpeaa)DE-He213 Research systems (dpeaa)DE-He213
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title	Scientific rewards for biomedical specialization are large and persistent
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title_full	Scientific rewards for biomedical specialization are large and persistent
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title_sort	scientific rewards for biomedical specialization are large and persistent
title_auth	Scientific rewards for biomedical specialization are large and persistent
abstract	Background While specialization plays an essential role in how scientific research is pursued, we understand little about its effects on a researcher’s impact and career. In particular, the extent to which one specializes within their chosen fields likely has complex relationships with productivity, career stage, and eventual impact. Here, we develop a novel and fine-grained approach for measuring a researcher’s level of specialization at each point in their career and apply it to the publication data of almost 30,000 established biomedical researchers to measure the effect that specialization has on the impact of a researcher’s publications. Results Using a within-researcher, panel-based econometric framework, we arrive at several important results. First, there are significant scientific rewards for specialization—25% more citations per standard deviation increase in specialization. Second, these benefits are much higher early in a researcher’s career—as large as 75% per standard deviation increase in specialization. Third, rewards are higher for researchers who publish few papers relative to their peers. Finally, we find that, all else equal, researchers who make large changes in their research direction see generally increased impact. Conclusions The extent to which one specializes, particularly at the early stages of a biomedical research career, appears to play a significant role in determining the citation-based impact of their publications. When this measure of impact is, implicitly or explicitly, an input into decision-making processes within the scientific system (for example, for job opportunities, promotions, or invited talks), these findings lead to some important implications for the system-level organization of scientific research and the incentives that exist therein. We propose several mechanisms within modern scientific systems that likely lead to the scientific rewards we observe and discuss them within the broader context of reward structures in biomedicine and science more generally. © The Author(s) 2022
abstractGer	Background While specialization plays an essential role in how scientific research is pursued, we understand little about its effects on a researcher’s impact and career. In particular, the extent to which one specializes within their chosen fields likely has complex relationships with productivity, career stage, and eventual impact. Here, we develop a novel and fine-grained approach for measuring a researcher’s level of specialization at each point in their career and apply it to the publication data of almost 30,000 established biomedical researchers to measure the effect that specialization has on the impact of a researcher’s publications. Results Using a within-researcher, panel-based econometric framework, we arrive at several important results. First, there are significant scientific rewards for specialization—25% more citations per standard deviation increase in specialization. Second, these benefits are much higher early in a researcher’s career—as large as 75% per standard deviation increase in specialization. Third, rewards are higher for researchers who publish few papers relative to their peers. Finally, we find that, all else equal, researchers who make large changes in their research direction see generally increased impact. Conclusions The extent to which one specializes, particularly at the early stages of a biomedical research career, appears to play a significant role in determining the citation-based impact of their publications. When this measure of impact is, implicitly or explicitly, an input into decision-making processes within the scientific system (for example, for job opportunities, promotions, or invited talks), these findings lead to some important implications for the system-level organization of scientific research and the incentives that exist therein. We propose several mechanisms within modern scientific systems that likely lead to the scientific rewards we observe and discuss them within the broader context of reward structures in biomedicine and science more generally. © The Author(s) 2022
abstract_unstemmed	Background While specialization plays an essential role in how scientific research is pursued, we understand little about its effects on a researcher’s impact and career. In particular, the extent to which one specializes within their chosen fields likely has complex relationships with productivity, career stage, and eventual impact. Here, we develop a novel and fine-grained approach for measuring a researcher’s level of specialization at each point in their career and apply it to the publication data of almost 30,000 established biomedical researchers to measure the effect that specialization has on the impact of a researcher’s publications. Results Using a within-researcher, panel-based econometric framework, we arrive at several important results. First, there are significant scientific rewards for specialization—25% more citations per standard deviation increase in specialization. Second, these benefits are much higher early in a researcher’s career—as large as 75% per standard deviation increase in specialization. Third, rewards are higher for researchers who publish few papers relative to their peers. Finally, we find that, all else equal, researchers who make large changes in their research direction see generally increased impact. Conclusions The extent to which one specializes, particularly at the early stages of a biomedical research career, appears to play a significant role in determining the citation-based impact of their publications. When this measure of impact is, implicitly or explicitly, an input into decision-making processes within the scientific system (for example, for job opportunities, promotions, or invited talks), these findings lead to some important implications for the system-level organization of scientific research and the incentives that exist therein. We propose several mechanisms within modern scientific systems that likely lead to the scientific rewards we observe and discuss them within the broader context of reward structures in biomedicine and science more generally. © The Author(s) 2022
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title_short	Scientific rewards for biomedical specialization are large and persistent
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