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System for evaluating the reliability and novelty of medical scientific papers

Author

Listed:
  • Martín de Diego, Isaac
  • González-Fernández, César
  • Fernández-Isabel, Alberto
  • Fernández, Rubén R.
  • Cabezas, Javier

Abstract

As society develops, the number of published research articles raises. Besides, the pressure to publish has been increased because the competitiveness between researchers working on similar topics. Although this increment is desirable, it leads to multiple issues. At a reader level, insurmountable barriers to keep up with the state of the art appear. From a publisher perspective, it is a very demanding task to determine which research articles are worth publishing. Automatizing these tasks appears as a core solution. In the case of readers, a previous evaluation of articles would simplify the filtering process. As for publishers, they could perform preliminary selections or estimate the reviewing effort. This paper presents Medical Evaluator System for Scientific Interoperability (MESSI) system to overcome all these issues. It is able to evaluate the novelty and reliability of health-related texts. The novelty calculation is based on previously acquired knowledge after processing more than 500,000 papers. The reliability estimation is based on the reputations of similar articles calculated based on previously defined metrics. Multiple experiments have been addressed to illustrate the viability of the proposal. The obtained results show a good performance that encourage to continue evolving the system.

Suggested Citation

  • Martín de Diego, Isaac & González-Fernández, César & Fernández-Isabel, Alberto & Fernández, Rubén R. & Cabezas, Javier, 2021. "System for evaluating the reliability and novelty of medical scientific papers," Journal of Informetrics, Elsevier, vol. 15(4).
    • Handle: RePEc:eee:infome:v:15:y:2021:i:4:s1751157721000596
    DOI: 10.1016/j.joi.2021.101188
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    References listed on IDEAS

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    1. Yundong Xie & Qiang Wu & Xingchen Li, 2019. "Editorial team scholarly index (ETSI): an alternative indicator for evaluating academic journal reputation," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(3), pages 1333-1349, September.
    2. Yoshiko Okubo, 1997. "Bibliometric Indicators and Analysis of Research Systems: Methods and Examples," OECD Science, Technology and Industry Working Papers 1997/1, OECD Publishing.
    3. Franceschet, Massimo, 2010. "The difference between popularity and prestige in the sciences and in the social sciences: A bibliometric analysis," Journal of Informetrics, Elsevier, vol. 4(1), pages 55-63.
    4. Guerrero-Bote, Vicente P. & Moya-Anegón, Félix, 2012. "A further step forward in measuring journals’ scientific prestige: The SJR2 indicator," Journal of Informetrics, Elsevier, vol. 6(4), pages 674-688.
    5. Lutz Bornmann & Rüdiger Mutz, 2015. "Growth rates of modern science: A bibliometric analysis based on the number of publications and cited references," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(11), pages 2215-2222, November.
    6. Vahe Tshitoyan & John Dagdelen & Leigh Weston & Alexander Dunn & Ziqin Rong & Olga Kononova & Kristin A. Persson & Gerbrand Ceder & Anubhav Jain, 2019. "Unsupervised word embeddings capture latent knowledge from materials science literature," Nature, Nature, vol. 571(7763), pages 95-98, July.
    7. Diana Hicks & Julia Melkers, 2013. "Bibliometrics as a tool for research evaluation," Chapters, in: Albert N. Link & Nicholas S. Vonortas (ed.), Handbook on the Theory and Practice of Program Evaluation, chapter 11, pages 323-349, Edward Elgar Publishing.
    8. Eleni Fragkiadaki & Georgios Evangelidis & Nikolaos Samaras & Dimitris A. Dervos, 2011. "f-Value: measuring an article’s scientific impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(3), pages 671-686, March.
    9. Bas Hofstra & Vivek V. Kulkarni & Sebastian Munoz-Najar Galvez & Bryan He & Dan Jurafsky & Daniel A. McFarland, 2020. "The Diversity–Innovation Paradox in Science," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 117(17), pages 9284-9291, April.
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