Quantifying simultaneous innovations in evolutionary medicine

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Quantifying simultaneous innovations in evolutionary medicine. / Painter, Deryc T.; van der Wouden, Frank; Laubichler, Manfred D. et al.

in: Theory in Biosciences, Jahrgang 139, Nr. 4, 12.2020, S. 319-335.

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

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Painter DT, van der Wouden F, Laubichler MD, Youn H. Quantifying simultaneous innovations in evolutionary medicine. Theory in Biosciences. 2020 Dez;139(4):319-335. Epub 2020 Nov 25. doi: 10.1007/s12064-020-00333-3

Bibtex

@article{e542b126100d474e9f0858a12850b0f9,
title = "Quantifying simultaneous innovations in evolutionary medicine",
abstract = "To what extent do simultaneous innovations occur and are independently from each other? In this paper we use a novel persistent keyword framework to systematically identify innovations in a large corpus containing academic papers in evolutionary medicine between 2007 and 2011. We examine whether innovative papers occurring simultaneously are independent from each other by evaluating the citation and co-authorship information gathered from the corpus metadata. We find that 19 out of 22 simultaneous innovative papers do, in fact, occur independently from each other. In particular, co-authors of simultaneous innovative papers are no more geographically concentrated than the co-authors of similar non-innovative papers in the field. Our result suggests producing innovative work draws from a collective knowledge pool, rather than from knowledge circulating in distinct localized collaboration networks. Therefore, new ideas can appear at multiple locations and with geographically dispersed co-authorship networks. Our findings support the perspective that simultaneous innovations are the outcome of collective behavior.",
keywords = "Evolutionary medicine, Independence, Keyword extraction, Novelty, Simultaneous innovation, Transdisciplinary studies",
author = "Painter, {Deryc T.} and {van der Wouden}, Frank and Laubichler, {Manfred D.} and Hyejin Youn",
note = "H. Youn was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2018S1A3A2075175). ",
year = "2020",
month = dec,
doi = "10.1007/s12064-020-00333-3",
language = "English",
volume = "139",
pages = "319--335",
journal = "Theory in Biosciences",
issn = "1431-7613",
publisher = "Springer",
number = "4",

}

RIS

TY - JOUR

T1 - Quantifying simultaneous innovations in evolutionary medicine

AU - Painter, Deryc T.

AU - van der Wouden, Frank

AU - Laubichler, Manfred D.

AU - Youn, Hyejin

N1 - H. Youn was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2018S1A3A2075175).

PY - 2020/12

Y1 - 2020/12

N2 - To what extent do simultaneous innovations occur and are independently from each other? In this paper we use a novel persistent keyword framework to systematically identify innovations in a large corpus containing academic papers in evolutionary medicine between 2007 and 2011. We examine whether innovative papers occurring simultaneously are independent from each other by evaluating the citation and co-authorship information gathered from the corpus metadata. We find that 19 out of 22 simultaneous innovative papers do, in fact, occur independently from each other. In particular, co-authors of simultaneous innovative papers are no more geographically concentrated than the co-authors of similar non-innovative papers in the field. Our result suggests producing innovative work draws from a collective knowledge pool, rather than from knowledge circulating in distinct localized collaboration networks. Therefore, new ideas can appear at multiple locations and with geographically dispersed co-authorship networks. Our findings support the perspective that simultaneous innovations are the outcome of collective behavior.

AB - To what extent do simultaneous innovations occur and are independently from each other? In this paper we use a novel persistent keyword framework to systematically identify innovations in a large corpus containing academic papers in evolutionary medicine between 2007 and 2011. We examine whether innovative papers occurring simultaneously are independent from each other by evaluating the citation and co-authorship information gathered from the corpus metadata. We find that 19 out of 22 simultaneous innovative papers do, in fact, occur independently from each other. In particular, co-authors of simultaneous innovative papers are no more geographically concentrated than the co-authors of similar non-innovative papers in the field. Our result suggests producing innovative work draws from a collective knowledge pool, rather than from knowledge circulating in distinct localized collaboration networks. Therefore, new ideas can appear at multiple locations and with geographically dispersed co-authorship networks. Our findings support the perspective that simultaneous innovations are the outcome of collective behavior.

KW - Evolutionary medicine

KW - Independence

KW - Keyword extraction

KW - Novelty

KW - Simultaneous innovation

KW - Transdisciplinary studies

UR - http://www.scopus.com/inward/record.url?scp=85096537045&partnerID=8YFLogxK

U2 - 10.1007/s12064-020-00333-3

DO - 10.1007/s12064-020-00333-3

M3 - Journal articles

C2 - 33241494

AN - SCOPUS:85096537045

VL - 139

SP - 319

EP - 335

JO - Theory in Biosciences

JF - Theory in Biosciences

SN - 1431-7613

IS - 4

ER -

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