Science Score: 44.0%

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Repository

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  • Host: GitHub
  • Owner: vdicesare
  • Language: R
  • Default Branch: main
  • Size: 183 KB
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Created over 1 year ago · Last pushed 10 months ago
Metadata Files
Readme Citation

README.md

Testing the knowledge bridging function of non-mainstream journals in scholarly communication

Victoria Di Césare (1)*, Rodrigo Costas (2) and Nicolas Robinson-Garcia (1)

(1) EC3 Research Group, Unit for Computational Humanities and Social Sciences (U-CHASS), University of Granada (Spain)

(2) Centre for Science and Technology Studies (CWTS), Leiden University (The Netherlands); DSI-NRF Centre of Excellence in Scientometrics and Science, Technology and Innovation Policy (SciSTIP), Stellenbosch University (South Africa)

*Corresponding author: vdicesare@ugr.es

Abstract: This study explores the knowledge bridging communication function of non-mainstream journals, originally proposed by Chavarro et al. (2017). Based on their definition, and incorporating a multidimensional conception of locality (Di Césare & Robinson-Garcia, 2024), we identify journals that perform this function within a large 2023 OpenAlex dataset. Our findings reveal a predominance of such journals in Asian and South American countries. Large scientific producers like Brazil and Russia stand out as significant contributors to knowledge bridging journals. The Social Sciences domain leads article production, followed closely by the Physical Sciences. The study highlights the value of non-mainstream journals as knowledge bridging sources beyond traditional metrics and underscores the need for greater recognition of their role in scholarly communication.

Oral presentation given at the 29th Annual International Conference on Science and Technology Indicators (STI ENID), 2025, University of Bristol (UK).

Owner

  • Name: Victoria Di Césare
  • Login: vdicesare
  • Kind: user
  • Location: Granada, Spain
  • Company: University of Granada

PhD student in Social Sciences. FPI fellowship awarded by the Spanish Ministry of Science and Innovation. Member of EC3 Research Group and COMPARE Project.

Citation (CITATION.cff)

cff-version: 1.0.0
message: "If you use this code, please cite it as below."
authors:
  - family-names: Di Césare
    given-names: Victoria
    orcid: https://orcid.org/0000-0001-7098-1914
title: "Local journals code"
version: 1.0.0
date-released: 2025-04-04

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