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      Factors influencing the scientific performance of Momentum grant holders: an evaluation of the first 117 research groups

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          Abstract

          The Momentum program launched in 2009 provides funding of up to 1 million Euro to establish new, independent research groups at Hungarian academic institutions. Here, our aim was to determine factors associated with the scientific output of these research groups. Publication data were downloaded from the Hungarian Scientific Work Archive ( www.mtmt.hu), impact factor data were obtained from Thomson Reuters (jcr.incites.thomsonreuters.com), and journal ranks were extracted from the Scimago Journal Rank database ( www.scimagojr.com). Investigated input features for each grant holder include gender, degree, targeted category, international mobility, international grants, number of publications, total number of citations, H-index, best publications, impact factors in the last 2 years, and assessment scores provided by the experts. Evaluated performance indicators include cumulative impact factor, number of D1 publications, and number of first/last author D1 publications during the grant running time. Grant holders’ publication output increased by 23 and 52% for life sciences and material sciences researchers. Scientific performance was independent from gender, degree, international grants, category applied for, and citations received for the best pre-grant publication. Those with international mobility had significantly lower scientific output (yearly impact factor, number of D1 publications, number of first/last author publications). Scores received from grant review experts were independent from later publication activity. The strongest correlations were observed between scientific output and total number of citations, H-index, and impact factor in the last 2 years pre-grant. In summary, group leaders with a dynamic publication track record were able to attain the most additional momentum. Our results can help accelerate and improve future grant review processes.

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          The Impact of Research Collaboration on Scientific Productivity

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            Improving the peer-review process for grant applications: reliability, validity, bias, and generalizability.

            Peer review is a gatekeeper, the final arbiter of what is valued in academia, but it has been criticized in relation to traditional psychological research criteria of reliability, validity, generalizability, and potential biases. Despite a considerable literature, there is surprisingly little sound peer-review research examining these criteria or strategies for improving the process. This article summarizes the authors' research program with the Australian Research Council, which receives thousands of grant proposals from the social science, humanities, and science disciplines and reviews by assessors from all over the world. Using multilevel cross-classified models, the authors critically evaluated peer reviews of grant applications and potential biases associated with applicants, assessors, and their interaction (e.g., age, gender, university, academic rank, research team composition, nationality, experience). Peer reviews lacked reliability, but the only major systematic bias found involved the inflated, unreliable, and invalid ratings of assessors nominated by the applicants themselves. The authors propose a new approach, the reader system, which they evaluated with psychology and education grant proposals and found to be substantially more reliable and strategically advantageous than traditional peer reviews of grant applications.
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              Emerging trends and new developments in information science: a document co-citation analysis (2009–2016)

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                Author and article information

                Contributors
                +3630-514-2822 , gyorffy.balazs@ttk.mta.hu
                Journal
                Scientometrics
                Scientometrics
                Scientometrics
                Springer International Publishing (Cham )
                0138-9130
                20 July 2018
                20 July 2018
                2018
                : 117
                : 1
                : 409-426
                Affiliations
                [1 ]ISNI 0000 0001 2149 4407, GRID grid.5018.c, MTA TTK Lendület Cancer Biomarker Research Group, Institute of Enzymology, , Hungarian Academy of Sciences, ; Magyar Tudósok körútja 2, Budapest, 1117 Hungary
                [2 ]ISNI 0000 0001 0942 9821, GRID grid.11804.3c, 2nd Department of Pediatrics, , Semmelweis University, ; Tűzoltó utca 7-9., Budapest, 1094 Hungary
                [3 ]ISNI 0000 0001 0203 5854, GRID grid.7336.1, Department of Economics, , University of Pannonia, ; Egyetem u. 10, Veszprém, 8200 Hungary
                [4 ]ISNI 0000 0001 0203 5854, GRID grid.7336.1, Department of International Economics, , University of Pannonia, ; Egyetem u. 10, Veszprém, 8200 Hungary
                [5 ]ISNI 0000 0001 2180 0451, GRID grid.6759.d, Department of Economics, , Budapest University of Technology and Economics, ; Magyar Tudósok körútja 4, Budapest, 1117 Hungary
                Article
                2852
                10.1007/s11192-018-2852-1
                6132953
                5d3efefb-934e-487b-8d92-cf8ed159ca84
                © The Author(s) 2018

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

                History
                : 28 February 2018
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100003825, Magyar Tudományos Akadémia;
                Award ID: Momentum grant
                Award Recipient :
                Funded by: NKFIH
                Award ID: NVKP_16-1-2016-0037
                Award Recipient :
                Categories
                Article
                Custom metadata
                © Akadémiai Kiadó, Budapest, Hungary 2018

                Computer science
                scientific performance,impact factor,review,publication activity,h-index,momentum program

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