article

Public---private interactions reflected through the funding acknowledgements

Author:

Fernanda MorilloAuthors Info & Claims

Scientometrics, Volume 108, Issue 3

Pages 1193 - 1204

https://doi.org/10.1007/s11192-016-2032-0

Published: 01 September 2016 Publication History

Abstract

Partnership between the public and private sectors has been studied using different methodologies; among them, scientific articles offer an objective way to quantify and assess some of these public---private interactions. The present paper takes advantage of the funding acknowledgements (FA) section included in WoS articles written in English and studies some features of the funded research, such as impact and collaboration. For this purpose, articles with Spain in the address field are selected and retrieved (years 2008---2013), dividing them in two sets: articles with or without FA. Besides, given the large volume of items, the study is focused on groups of articles of each area selected by stratified random sampling. Additionally, those items with a FA section are analysed to identify three types of funding sources: only public, only private, or both sectors. The results show differences between areas in terms of presence of FA and types of funding sectors. On the one hand, in general, articles funded by both the public and private sectors present the best impact, as well as the highest number of authors and organisations. On the other hand, there are important variations in impact and collaboration between areas depending on types of funding sectors. Thus, items funded by both the public and private sectors show the highest significant impact in Clinical Medicine, Life Sciences and Physics, having also greater international collaboration, in most areas, than articles funded only by the public sector. Finally, some limitations of this study are identified and some recommendations for funders and authors are offered.

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Cited By

Hirv T(2022)The interplay of the size of the research system, ways of collaboration, level, and method of funding in determining bibliometric outputsScientometrics10.1007/s11192-021-04232-2127:3(1295-1316)Online publication date: 1-Mar-2022
https://dl.acm.org/doi/10.1007/s11192-021-04232-2
Liu WTang LHu G(2020)Funding information in Web of Science: an updated overviewScientometrics10.1007/s11192-020-03362-3122:3(1509-1524)Online publication date: 25-Jan-2020
https://dl.acm.org/doi/10.1007/s11192-020-03362-3
Zhao RLi XLiang ZLi D(2019)Development strategy and collaboration preference in S&T of enterprises based on funded papers: a case study of GoogleScientometrics10.1007/s11192-019-03182-0121:1(323-347)Online publication date: 1-Oct-2019
https://dl.acm.org/doi/10.1007/s11192-019-03182-0
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Information & Contributors

Information

Published In

cover image Scientometrics

Scientometrics Volume 108, Issue 3

September 2016

662 pages

ISSN:0138-9130

Issue’s Table of Contents

Copyright © Copyright © 2016 Akadémiai Kiadó, Budapest, Hungary.

Publisher

Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 01 September 2016

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Cited By

Hirv T(2022)The interplay of the size of the research system, ways of collaboration, level, and method of funding in determining bibliometric outputsScientometrics10.1007/s11192-021-04232-2127:3(1295-1316)Online publication date: 1-Mar-2022
https://dl.acm.org/doi/10.1007/s11192-021-04232-2
Liu WTang LHu G(2020)Funding information in Web of Science: an updated overviewScientometrics10.1007/s11192-020-03362-3122:3(1509-1524)Online publication date: 25-Jan-2020
https://dl.acm.org/doi/10.1007/s11192-020-03362-3
Zhao RLi XLiang ZLi D(2019)Development strategy and collaboration preference in S&T of enterprises based on funded papers: a case study of GoogleScientometrics10.1007/s11192-019-03182-0121:1(323-347)Online publication date: 1-Oct-2019
https://dl.acm.org/doi/10.1007/s11192-019-03182-0
Morillo F(2019)Collaboration and impact of research in different disciplines with international funding (from the EU and other foreign sources)Scientometrics10.1007/s11192-019-03150-8120:2(807-823)Online publication date: 1-Aug-2019
https://dl.acm.org/doi/10.1007/s11192-019-03150-8
Choi JKim BHahn HPark HJeong YYoo JJeong M(2017)Data mining-based variable assessment methodology for evaluating the contribution of knowledge services of a public research institute to business performance of firmsExpert Systems with Applications: An International Journal10.1016/j.eswa.2017.04.05784:C(37-48)Online publication date: 30-Oct-2017
https://dl.acm.org/doi/10.1016/j.eswa.2017.04.057
Álvarez-Bornstein BMorillo FBordons M(2017)Funding acknowledgments in the Web of ScienceScientometrics10.1007/s11192-017-2453-4112:3(1793-1812)Online publication date: 1-Sep-2017
https://dl.acm.org/doi/10.1007/s11192-017-2453-4

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