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Abstract Sifter: a comprehensive front-end system to PubMed
The Abstract Sifter is a Microsoft Excel based application that enhances existing search capabilities of PubMed. The Abstract Sifter assists researchers to search effectively, triage results, and keep track of articles of interest. The tool implements an innovative “sifter” functionality for relevan...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000 Research Limited
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5801564/ https://www.ncbi.nlm.nih.gov/pubmed/29479422 http://dx.doi.org/10.12688/f1000research.12865.1 |
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author | Baker, Nancy Knudsen, Thomas Williams, Antony |
author_facet | Baker, Nancy Knudsen, Thomas Williams, Antony |
author_sort | Baker, Nancy |
collection | PubMed |
description | The Abstract Sifter is a Microsoft Excel based application that enhances existing search capabilities of PubMed. The Abstract Sifter assists researchers to search effectively, triage results, and keep track of articles of interest. The tool implements an innovative “sifter” functionality for relevance ranking, giving the researcher a way to find articles of interest quickly. The tool also gives researchers a view of the literature landscape for a set of entities such as chemicals or genes. The Abstract Sifter is available as a Microsoft Excel macro-enabled workbook application. |
format | Online Article Text |
id | pubmed-5801564 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | F1000 Research Limited |
record_format | MEDLINE/PubMed |
spelling | pubmed-58015642018-02-22 Abstract Sifter: a comprehensive front-end system to PubMed Baker, Nancy Knudsen, Thomas Williams, Antony F1000Res Software Tool Article The Abstract Sifter is a Microsoft Excel based application that enhances existing search capabilities of PubMed. The Abstract Sifter assists researchers to search effectively, triage results, and keep track of articles of interest. The tool implements an innovative “sifter” functionality for relevance ranking, giving the researcher a way to find articles of interest quickly. The tool also gives researchers a view of the literature landscape for a set of entities such as chemicals or genes. The Abstract Sifter is available as a Microsoft Excel macro-enabled workbook application. F1000 Research Limited 2017-12-21 /pmc/articles/PMC5801564/ /pubmed/29479422 http://dx.doi.org/10.12688/f1000research.12865.1 Text en Copyright: © 2017 Baker N et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Software Tool Article Baker, Nancy Knudsen, Thomas Williams, Antony Abstract Sifter: a comprehensive front-end system to PubMed |
title | Abstract Sifter: a comprehensive front-end system to PubMed |
title_full | Abstract Sifter: a comprehensive front-end system to PubMed |
title_fullStr | Abstract Sifter: a comprehensive front-end system to PubMed |
title_full_unstemmed | Abstract Sifter: a comprehensive front-end system to PubMed |
title_short | Abstract Sifter: a comprehensive front-end system to PubMed |
title_sort | abstract sifter: a comprehensive front-end system to pubmed |
topic | Software Tool Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5801564/ https://www.ncbi.nlm.nih.gov/pubmed/29479422 http://dx.doi.org/10.12688/f1000research.12865.1 |
work_keys_str_mv | AT bakernancy abstractsifteracomprehensivefrontendsystemtopubmed AT knudsenthomas abstractsifteracomprehensivefrontendsystemtopubmed AT williamsantony abstractsifteracomprehensivefrontendsystemtopubmed |