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Identifying related journals through log analysis
Motivation: With the explosion of biomedical literature and the evolution of online and open access, scientists are reading more articles from a wider variety of journals. Thus, the list of core journals relevant to their research may be less obvious and may often change over time. To help researche...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2773256/ https://www.ncbi.nlm.nih.gov/pubmed/19734155 http://dx.doi.org/10.1093/bioinformatics/btp529 |
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author | Lu, Zhiyong Xie, Natalie Wilbur, W. John |
author_facet | Lu, Zhiyong Xie, Natalie Wilbur, W. John |
author_sort | Lu, Zhiyong |
collection | PubMed |
description | Motivation: With the explosion of biomedical literature and the evolution of online and open access, scientists are reading more articles from a wider variety of journals. Thus, the list of core journals relevant to their research may be less obvious and may often change over time. To help researchers quickly identify appropriate journals to read and publish in, we developed a web application for finding related journals based on the analysis of PubMed log data. Availability: http://www.ncbi.nlm.nih.gov/IRET/Journals Contact: luzh@ncbi.nlm.nih.gov Supplementary information: Supplementary data are available at Bioinformatics online. |
format | Text |
id | pubmed-2773256 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-27732562009-11-05 Identifying related journals through log analysis Lu, Zhiyong Xie, Natalie Wilbur, W. John Bioinformatics Applications Note Motivation: With the explosion of biomedical literature and the evolution of online and open access, scientists are reading more articles from a wider variety of journals. Thus, the list of core journals relevant to their research may be less obvious and may often change over time. To help researchers quickly identify appropriate journals to read and publish in, we developed a web application for finding related journals based on the analysis of PubMed log data. Availability: http://www.ncbi.nlm.nih.gov/IRET/Journals Contact: luzh@ncbi.nlm.nih.gov Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2009-11-15 2009-09-03 /pmc/articles/PMC2773256/ /pubmed/19734155 http://dx.doi.org/10.1093/bioinformatics/btp529 Text en http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Note Lu, Zhiyong Xie, Natalie Wilbur, W. John Identifying related journals through log analysis |
title | Identifying related journals through log analysis |
title_full | Identifying related journals through log analysis |
title_fullStr | Identifying related journals through log analysis |
title_full_unstemmed | Identifying related journals through log analysis |
title_short | Identifying related journals through log analysis |
title_sort | identifying related journals through log analysis |
topic | Applications Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2773256/ https://www.ncbi.nlm.nih.gov/pubmed/19734155 http://dx.doi.org/10.1093/bioinformatics/btp529 |
work_keys_str_mv | AT luzhiyong identifyingrelatedjournalsthroughloganalysis AT xienatalie identifyingrelatedjournalsthroughloganalysis AT wilburwjohn identifyingrelatedjournalsthroughloganalysis |