Which can better predict the future success of articles? Bibliometric indices or alternative metrics-Reference-Cited by-同舟云学术

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Which can better predict the future success of articles? Bibliometric indices or alternative metrics

Published:2019-04-06 Issue:3 Volume:119 Page:1575-1595
ISSN:0138-9130
Container-title:Scientometrics
language:en
Short-container-title:Scientometrics

Author:

Wang Mingyang,Wang Zhenyu,Chen Guangsheng^ORCID

Funder

National Natural Science Foundation of China

Postdoctoral Scientific Research Developmental Fund of Heilongjiang Province

national undergraduate training programs for innovation

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Computer Science Applications,General Social Sciences

Link

http://link.springer.com/content/pdf/10.1007/s11192-019-03052-9.pdf

Reference122 articles.

1. Abdi, H., Williams, L. J., & Valentin, D. (2013). Multiple factor analysis: Principal component analysis for multitable and multiblock data sets. Wiley Interdisciplinary Reviews: Computational Statistics, 5(2), 149–179.

2. Adams, J. (2005). Early citation counts correlation with accumulated impact. Scientometrics, 63(3), 567–581.

3. Aksnes, D. W. (2003). Characteristics of highly cited papers. Research Evaluation, 12(3), 159–170.

4. Amara, N., Landry, R., & Halilem, N. (2015). What can university administrators do to increase the publication and citation scores of their faculty members? Scientometrics, 103(2), 489–530.

5. Annalingam, A., Damayanthi, H., Jayawardena, R., & Ranasinghe, P. (2014). Determinants of the citation rate of medical research publications from a developing country. SpringerPlus, 3(1), 1–6.

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