Research ArticleJournal of Scientometric ResearchVol. 3 | Issue 1 | 2014 | pp. 15–21Open access
An index that rates relevance of scientific work in bio‑sciences: The scientific relevance‑index
- 1*,
- 2
- 1 Department of Nutrition and Dietetics, School of Health Science and Education, Athens 17671, GREECE.
- 2 Department of Informatics and Telematics, School of Digital Science, Harokopio University, Athens 17778, GREECE.
Published in Journal of Scientometric Research
Correspondence: Demosthenes B. Panagiotakos
Department of Nutrition and Dietetics, School of Health Science and Education, Athens 17671, GREECE.
Email: dbpanag@hua.gr
Copyright: © 2014 Manuscript Technomedia. This is an open access article.
- Published:
- Jan 1, 2014
How to cite
Panagiotakos, D. B., & Bersimis, F. G. (2014). An index that rates relevance of scientific work in bio‑sciences: The scientific relevance‑index. Journal of Scientometric Research, 3(1), 15–21. https://doi.org/10.4103/2320-0057.143688
Abstract
This work aims to present an objective index that rates scientific relevance (SR) of scientists’ published work, the SR index, in a specific thematic field. The proposed index is calculated based on equally or weighted individual parameters that measure scientist’s publication record and recognition, using easily accessible and unbiased data from existing bibliometric databases. The application of the SR‑index could be in any scientific field; an example is given here on cell and molecular biology field.
Keywords
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Article metadata
| Title | An index that rates relevance of scientific work in bio‑sciences: The scientific relevance‑index |
|---|---|
| Authors | Demosthenes B. Panagiotakos; Fragiskos G. Bersimis |
| Affiliations | Department of Nutrition and Dietetics, School of Health Science and Education, Athens 17671, GREECE.; Department of Informatics and Telematics, School of Digital Science, Harokopio University, Athens 17778, GREECE. |
| Corresponding author | dbpanag@hua.gr |
| Journal | Journal of Scientometric Research |
| Volume / Issue | Vol. 3, Issue 1 (2014) |
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- A new model to identify the productivity of theses in terms of articles using co‑word analysispp. 3–14
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