Article
Version 1
Preserved in Portico This version is not peer-reviewed
Towards identifying author confidence in biomedical articles
Version 1
: Received: 6 November 2018 / Approved: 8 November 2018 / Online: 8 November 2018 (11:01:24 CET)
A peer-reviewed article of this Preprint also exists.
Plămadă, M.O.; Trandabăț, D.; Gîfu, D. Towards Identifying Author Confidence in Biomedical Articles. Data 2019, 4, 18. Plămadă, M.O.; Trandabăț, D.; Gîfu, D. Towards Identifying Author Confidence in Biomedical Articles. Data 2019, 4, 18.
Abstract
In an era when medical literature is increasing daily, researchers in biomedical and clinical areas have joined efforts with language engineers to analyze large amount of biomedical and molecular biology literature (such as PubMed), patient data or health records. With such a huge amount of reports, evaluating their impact has long seized to be a trivial task. In this context, this paper intends to introduce a non-scientific factor that represents an important element in the effort of gaining acceptance of claims. Thus, we postulate that the confidence the author is expressing in his work plays an important role in shaping the first impression that influences the reader’s perception of the paper. The results discussed in this paper are based on a series of experiments ran over data from the Open Archives Initiative (OAI) corpus that provides interoperability standards in order to facilitate the effectiveness dissemination of the content. This method can be useful to the direct beneficiaries (authors, who are engaged in medical or academic research), but, also, researchers in the fields of BioNLP and NLP, etc.
Keywords
Biomedical libraries; author’s confidence; writing styles; text analysis
Subject
Computer Science and Mathematics, Other
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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