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Which Are the Tools Available for Scholars? A Review of Assisting Software for Authors during Peer Reviewing Process

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  • J. Israel Martínez-López

    (Tecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Ave. Eugenio Garza Sada 2501, 64849 Monterrey, N.L., México
    Centro de Investigacion Numericalc; 5 de mayo Oriente 912, 64000 Monterrey, N.L., México)

  • Samantha Barrón-González

    (Centro de Investigacion Numericalc; 5 de mayo Oriente 912, 64000 Monterrey, N.L., México)

  • Alejandro Martínez López

    (Centro de Investigacion Numericalc; 5 de mayo Oriente 912, 64000 Monterrey, N.L., México)

Abstract

There is a large amount of Information Technology and Communication (ITC) tools that surround scholar activity. The prominent place of the peer-review process upon publication has promoted a crowded market of technological tools in several formats. Despite this abundance, many tools are unexploited or underused because they are not known by the academic community. In this study, we explored the availability and characteristics of the assisting tools for the peer-reviewing process. The aim was to provide a more comprehensive understanding of the tools available at this time, and to hint at new trends for further developments. The result of an examination of literature assisted the creation of a novel taxonomy of types of software available in the market. This new classification is divided into nine categories as follows: (I) Identification and social media, (II) Academic search engines, (III) Journal-abstract matchmakers, (IV) Collaborative text editors, (V) Data visualization and analysis tools, (VI) Reference management, (VII) Proofreading and plagiarism detection, (VIII) Data archiving, and (IX) Scientometrics and Altmetrics. Considering these categories and their defining traits, a curated list of 220 software tools was completed using a crowdfunded database (AlternativeTo) to identify relevant programs and ongoing trends and perspectives of tools developed and used by scholars.

Suggested Citation

  • J. Israel Martínez-López & Samantha Barrón-González & Alejandro Martínez López, 2019. "Which Are the Tools Available for Scholars? A Review of Assisting Software for Authors during Peer Reviewing Process," Publications, MDPI, vol. 7(3), pages 1-28, September.
    • Handle: RePEc:gam:jpubli:v:7:y:2019:i:3:p:59-:d:265562
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    References listed on IDEAS

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    1. Mike Thelwall & Kayvan Kousha, 2014. "Academia.edu: Social network or Academic Network?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(4), pages 721-731, April.
    2. Jonathan P. Tennant & Harry Crane & Tom Crick & Jacinto Davila & Asura Enkhbayar & Johanna Havemann & Bianca Kramer & Ryan Martin & Paola Masuzzo & Andy Nobes & Curt Rice & Bárbara Rivera-López & Tony, 2019. "Ten Hot Topics around Scholarly Publishing," Publications, MDPI, vol. 7(2), pages 1-24, May.
    3. Adrian Mulligan & Louise Hall & Ellen Raphael, 2013. "Peer review in a changing world: An international study measuring the attitudes of researchers," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(1), pages 132-161, January.
    4. Adrian Mulligan & Louise Hall & Ellen Raphael, 2013. "Peer review in a changing world: An international study measuring the attitudes of researchers," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(1), pages 132-161, January.
    5. David Moher & Alessandro Liberati & Jennifer Tetzlaff & Douglas G Altman & The PRISMA Group, 2009. "Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement," PLOS Medicine, Public Library of Science, vol. 6(7), pages 1-6, July.
    6. Mike Thelwall & Kayvan Kousha, 2015. "ResearchGate: Disseminating, communicating, and measuring Scholarship?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(5), pages 876-889, May.
    7. Jeffrey M. Perkel, 2015. "Eight ways to clean a digital library," Nature, Nature, vol. 527(7576), pages 123-124, November.
    8. Mingers, John & Leydesdorff, Loet, 2015. "A review of theory and practice in scientometrics," European Journal of Operational Research, Elsevier, vol. 246(1), pages 1-19.
    9. Rodrigo Costas & Zohreh Zahedi & Paul Wouters, 2015. "Do “altmetrics” correlate with citations? Extensive comparison of altmetric indicators with citations from a multidisciplinary perspective," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(10), pages 2003-2019, October.
    10. Jeffrey M. Perkel, 2014. "Scientific writing: the online cooperative," Nature, Nature, vol. 514(7520), pages 127-128, October.
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