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The Citation Merit of Scientific Publications
We propose a new method to assess the merit of any set of scientific papers in a given field based on the citations they receive. Given a field and a citation impact indicator, such as the mean citation or the [Image: see text]-index, the merit of a given set of [Image: see text] articles is identif...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3496740/ https://www.ncbi.nlm.nih.gov/pubmed/23152867 http://dx.doi.org/10.1371/journal.pone.0049156 |
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author | Crespo, Juan A. Ortuño-Ortín, Ignacio Ruiz-Castillo, Javier |
author_facet | Crespo, Juan A. Ortuño-Ortín, Ignacio Ruiz-Castillo, Javier |
author_sort | Crespo, Juan A. |
collection | PubMed |
description | We propose a new method to assess the merit of any set of scientific papers in a given field based on the citations they receive. Given a field and a citation impact indicator, such as the mean citation or the [Image: see text]-index, the merit of a given set of [Image: see text] articles is identified with the probability that a randomly drawn set of [Image: see text] articles from a given pool of articles in that field has a lower citation impact according to the indicator in question. The method allows for comparisons between sets of articles of different sizes and fields. Using a dataset acquired from Thomson Scientific that contains the articles published in the periodical literature in the period 1998–2007, we show that the novel approach yields rankings of research units different from those obtained by a direct application of the mean citation or the [Image: see text]-index. |
format | Online Article Text |
id | pubmed-3496740 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-34967402012-11-14 The Citation Merit of Scientific Publications Crespo, Juan A. Ortuño-Ortín, Ignacio Ruiz-Castillo, Javier PLoS One Research Article We propose a new method to assess the merit of any set of scientific papers in a given field based on the citations they receive. Given a field and a citation impact indicator, such as the mean citation or the [Image: see text]-index, the merit of a given set of [Image: see text] articles is identified with the probability that a randomly drawn set of [Image: see text] articles from a given pool of articles in that field has a lower citation impact according to the indicator in question. The method allows for comparisons between sets of articles of different sizes and fields. Using a dataset acquired from Thomson Scientific that contains the articles published in the periodical literature in the period 1998–2007, we show that the novel approach yields rankings of research units different from those obtained by a direct application of the mean citation or the [Image: see text]-index. Public Library of Science 2012-11-13 /pmc/articles/PMC3496740/ /pubmed/23152867 http://dx.doi.org/10.1371/journal.pone.0049156 Text en © 2012 Crespo et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Crespo, Juan A. Ortuño-Ortín, Ignacio Ruiz-Castillo, Javier The Citation Merit of Scientific Publications |
title | The Citation Merit of Scientific Publications |
title_full | The Citation Merit of Scientific Publications |
title_fullStr | The Citation Merit of Scientific Publications |
title_full_unstemmed | The Citation Merit of Scientific Publications |
title_short | The Citation Merit of Scientific Publications |
title_sort | citation merit of scientific publications |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3496740/ https://www.ncbi.nlm.nih.gov/pubmed/23152867 http://dx.doi.org/10.1371/journal.pone.0049156 |
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