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An Exploratory Study of Scholarly Platforms and Features to Help Emerging Scholars Gain Visibility in the Scholars’ Community

1★, 1, 1★ Corresponding author

  1. 1Computer Engineering Department, Sardar Vallabhbhai National Institute of Technology, Surat, Gujarat, INDIA`.

CORRESPONDENCE

Mitali Desai

Computer Engineering Department, Sardar Vallabhbhai National Institute of Technology, Surat, Gujarat, INDIA`.

mitalidesai17@gmail.com

Received: 13-06-2022; Revised: 03-02-2023; Accepted: 06-04-2023.

Volume 12, Issue 2 · pp. 480-489 · 2023 · DOI: 10.5530/jscires.12.2.044

ABSTRACT

Among available scholarly features on digitized scholarly platforms, certain features have high significance in assessing scholar's influence. If these features are identified, using them legitimately, emerging scholars can increase their influence and gain visibility in the scholars’ community. The purpose of this research is to identify and rank significant features on scholarly platforms. To select a data source, a comparative analysis of well-known scholarly platforms is performed. Based on the analysis, ResearchGate (RG) is selected. For RG, this research proposes a methodology to identify and rank significant scholarly features. The results demonstrate that for the rendered RG data, identified significant features in the order of their significance are number of citations, research items, followers, reads, recommendations, followings and projects. Significant features discovered in this research can be employed by various scholarly platforms to identify influential scholars. These scholars can be utilized in applications such as expert finding, influence ranking, recommendation systems, interdisciplinary collaborations etc. Moreover, the identified significant features will help scholars in focusing on certain aspects (features) to increase their influence legitimately.

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    Desai, M., Mehta, R., & Rana, D. (2023). An Exploratory Study of Scholarly Platforms and Features to Help Emerging Scholars Gain Visibility in the Scholars’ Community. Journal of Scientometric Research, 12(2), 480-489. https://doi.org/10.5530/jscires.12.2.044

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    © 2023 Author(s)

    This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms. CC BY-NC-SA 4.0