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MLTrends: Graphing MEDLINE term usage over time
The MEDLINE database of medical literature is routinely used by researchers and doctors to find articles pertaining to their area of interest. Insight into historical changes in research areas and use of scientific language may be gained by chronological analysis of the 18 million records currently...
Autores principales: | , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
University of Illinois at Chicago Library
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2990277/ https://www.ncbi.nlm.nih.gov/pubmed/20333611 |
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author | Palidwor, Gareth A Andrade-Navarro, Miguel A |
author_facet | Palidwor, Gareth A Andrade-Navarro, Miguel A |
author_sort | Palidwor, Gareth A |
collection | PubMed |
description | The MEDLINE database of medical literature is routinely used by researchers and doctors to find articles pertaining to their area of interest. Insight into historical changes in research areas and use of scientific language may be gained by chronological analysis of the 18 million records currently in the database, however such analysis is generally complex and time consuming. The authors’ MLTrends web application graphs term usage in MEDLINE over time, allowing the determination of emergence dates for biomedical terms and historical variations in term usage intensity. Terms considered are individual words or quoted phrases which may be combined using Boolean operators. MLTrends can plot the number of records in MEDLINE per year whose titles or abstracts match each queried term for multiple terms simultaneously. The MEDLINE database is stored and indexed on the MLTrends server allowing queries to be completed and graphs generated in less than one second. Queries may be performed on all titles and/or abstracts in MEDLINE and can include stop words. The resulting graphs may be normalized by total publications or words per year to facilitate term usage comparison between years.This makes MLTrends a powerful tool for rapid evaluation of the evolution of biomedical research and language in a graphical way. MLTrends may be used at: http://www.ogic.ca/mltrends |
format | Text |
id | pubmed-2990277 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | University of Illinois at Chicago Library |
record_format | MEDLINE/PubMed |
spelling | pubmed-29902772010-11-29 MLTrends: Graphing MEDLINE term usage over time Palidwor, Gareth A Andrade-Navarro, Miguel A J Biomed Discov Collab Research The MEDLINE database of medical literature is routinely used by researchers and doctors to find articles pertaining to their area of interest. Insight into historical changes in research areas and use of scientific language may be gained by chronological analysis of the 18 million records currently in the database, however such analysis is generally complex and time consuming. The authors’ MLTrends web application graphs term usage in MEDLINE over time, allowing the determination of emergence dates for biomedical terms and historical variations in term usage intensity. Terms considered are individual words or quoted phrases which may be combined using Boolean operators. MLTrends can plot the number of records in MEDLINE per year whose titles or abstracts match each queried term for multiple terms simultaneously. The MEDLINE database is stored and indexed on the MLTrends server allowing queries to be completed and graphs generated in less than one second. Queries may be performed on all titles and/or abstracts in MEDLINE and can include stop words. The resulting graphs may be normalized by total publications or words per year to facilitate term usage comparison between years.This makes MLTrends a powerful tool for rapid evaluation of the evolution of biomedical research and language in a graphical way. MLTrends may be used at: http://www.ogic.ca/mltrends University of Illinois at Chicago Library 2010-01-25 /pmc/articles/PMC2990277/ /pubmed/20333611 Text en http://creativecommons.org/licenses/by/2.0 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 work is properly cited. |
spellingShingle | Research Palidwor, Gareth A Andrade-Navarro, Miguel A MLTrends: Graphing MEDLINE term usage over time |
title | MLTrends: Graphing MEDLINE term usage over time |
title_full | MLTrends: Graphing MEDLINE term usage over time |
title_fullStr | MLTrends: Graphing MEDLINE term usage over time |
title_full_unstemmed | MLTrends: Graphing MEDLINE term usage over time |
title_short | MLTrends: Graphing MEDLINE term usage over time |
title_sort | mltrends: graphing medline term usage over time |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2990277/ https://www.ncbi.nlm.nih.gov/pubmed/20333611 |
work_keys_str_mv | AT palidworgaretha mltrendsgraphingmedlinetermusageovertime AT andradenavarromiguela mltrendsgraphingmedlinetermusageovertime |