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Collaboration and impact of research in different disciplines with international funding (from the EU and other foreign sources)

Published on Jun 14, 2019in Scientometrics 2.77
· DOI :10.1007/s11192-019-03150-8
Fernanda Morillo10
Estimated H-index: 10
(CSIC: Spanish National Research Council)
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Abstract
The advancement of scientific research requires an adequate investment, which calls for promoting fair political decisions about the allocation of limited resources. In this context, funders need to be properly informed to assess the results of research lines or programmes. The WoS databases can help in making decisions, since they include the funding acknowledgements of documents along with additional useful data. The purpose of this paper is to analyse, in four different disciplines, the possible relation between international funding (from the EU and other foreign sources) and collaboration and impact. WoS articles with a Spanish address and written in English are selected (period 2010–2014), classifying them according to the existence or absence of funding acknowledgements, and identifying international sponsorship and the presence of EU funds. After applying some logistic regression models, the results confirm the hypotheses, except for some unexpected findings. In general, articles with international funding present greater collaboration, especially international and larger for those supported by only other non-EU foreign funds, with some differences between disciplines. This internationally funded research also achieves the highest citation rates, being unexpectedly higher for publications sponsored by EU funds, even showing less cooperation than those supported by other foreign funds. In the same way, the proportion of articles with only national funding is not diminished by their limited percentage of collaboration. In conclusion, this paper provides interesting information, both for funders and researchers, discussing the various characteristics and disparities between disciplines and funding sources.
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Published on Dec 1, 2018in Scientometrics 2.77
Fernanda Morillo10
Estimated H-index: 10
(CSIC: Spanish National Research Council),
Belén Álvarez-Bornstein1
Estimated H-index: 1
(Complutense University of Madrid)
In a context of increasingly limited resources, the demand for information from research funding bodies is growing. The exploitation of the funding acknowledgements collected in WoS publications can be useful for these sponsors, not only because it allows them to know the published results with their financial support, but also because it provides a framework to evaluate the efficiency of the different funding instruments. The present work adds to the knowledge of previous studies to offer a sim...
Published on Nov 1, 2018in Journal of Informetrics 3.88
Dengsheng Wu (CAS: Chinese Academy of Sciences), Lili Yuan1
Estimated H-index: 1
(CAS: Chinese Academy of Sciences)
+ 1 AuthorsJianping Li (CAS: Chinese Academy of Sciences)
Abstract The inequality in research funding is an important issue, in which the measurement of inequality is the basis. The literature has mostly investigated the inequality in research funding by providing overall values of inequality but has rarely explored this topic through the internal structure of the overall inequality. In this paper, a three-stage nested Theil index is employed to decompose the overall inequality in research funding into the between and within components. Moreover, a dec...
Published on Jul 1, 2018in Research Policy 5.42
Jian Wang11
Estimated H-index: 11
(LEI: Leiden University),
You-Na Lee6
Estimated H-index: 6
(NUS: National University of Singapore),
John Walsii28
Estimated H-index: 28
(Georgia Institute of Technology)
In many countries the scientific funding system is shifting from an internal block funding model toward a competitive project funding model. However, there is growing concern that the competitive project funding system favors relatively safe, conventional projects at the expense of risky, novel research. It is important to assess different funding models in order to design better funding systems for science. This paper empirically tests for differences in the novelty of funded outputs between in...
Published on May 1, 2018in Scientometrics 2.77
Mu-Hsuan Huang20
Estimated H-index: 20
(NTU: National Taiwan University),
Mei-Jhen Huang1
Estimated H-index: 1
(NTU: National Taiwan University)
This study analyzed journal articles published by authors from the G9 countries (Canada, China, France, Germany, Italy, Japan, Russia, the United Kingdom, and the United States) to identify the distribution of research funding and funding agencies in these countries. A total of 5,856,744 articles published between 2009 and 2014 were collected from the Web of Science database. The results showed that China had the highest proportion of funded papers among its overall scientific output, while Ital...
Published on Apr 1, 2018in Scientometrics 2.77
Erjia Yan19
Estimated H-index: 19
(Drexel University),
Chaojiang Wu3
Estimated H-index: 3
(Drexel University),
Min Song17
Estimated H-index: 17
(Yonsei University)
This paper intends to illuminate the relationship between science funding and citation impact in seven STEMM disciplines (science, technology, engineering, mathematics, and medicine). Using a regression model with Heckman bias correction, we find that funding has a positive, significant association with a paper’s citations in STEMM fields. Further analyses show that this association is magnified by the factors of multiple authorship and multiple institutions. For funded papers in STEM, multi-aut...
Published on Sep 1, 2017in Scientometrics 2.77
Belén Álvarez-Bornstein1
Estimated H-index: 1
(Complutense University of Madrid),
Fernanda Morillo10
Estimated H-index: 10
(CSIC: Spanish National Research Council),
María Bordons22
Estimated H-index: 22
(CSIC: Spanish National Research Council)
The study of acknowledgments as a source of data on research funding is gaining ground in science, as exemplified by the present inclusion of this information in bibliographic databases such as Web of Science (WoS). The objective of this paper is to explore the completeness and accuracy of WoS in extracting and processing funding acknowledgment data. With this purpose, a random sample of articles published in eight thematic areas and selected from the scientific output of Spain in 2014 are analy...
Published on Apr 1, 2017
Nicola Grassano1
Estimated H-index: 1
(University of Sussex),
Daniele Rotolo12
Estimated H-index: 12
(University of Sussex)
+ 2 AuthorsMichael M. Hopkins17
Estimated H-index: 17
(University of Sussex)
This article contributes to the development of methods for analysing research funding systems by exploring the robustness and comparability of emerging approaches to generate funding landscapes useful for policy making. We use a novel data set of manually extracted and coded data on the funding acknowledgements of 7,510 publications representing UK cancer research in the year 2011 and compare these "reference data" with funding data provided by Web of Science WoS and MEDLINE/PubMed. Findings sho...
Published on Sep 1, 2016in Scientometrics 2.77
Fernanda Morillo10
Estimated H-index: 10
(CSIC: Spanish National Research Council)
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...
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