Evolution of Communities in the Medical Sciences: Evidence from the Medical Words Network.
Classification of medical sciences into its sub-branches is crucial for optimum administration of healthcare and specialty training. Due to the rapid and continuous evolution of medical sciences, development of unbiased tools for monitoring the evolution of medical disciplines is required.Network an...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2016-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC5135137?pdf=render |
| _version_ | 1818608237596901376 |
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| author | Amir H Shirazi Arash Badie Modiri Sara Heydari Jennifer L Rohn Gholam R Jafari Ali R Mani |
| author_facet | Amir H Shirazi Arash Badie Modiri Sara Heydari Jennifer L Rohn Gholam R Jafari Ali R Mani |
| author_sort | Amir H Shirazi |
| collection | DOAJ |
| description | Classification of medical sciences into its sub-branches is crucial for optimum administration of healthcare and specialty training. Due to the rapid and continuous evolution of medical sciences, development of unbiased tools for monitoring the evolution of medical disciplines is required.Network analysis was used to explore how the medical sciences have evolved between 1980 and 2015 based on the shared words contained in more than 9 million PubMed abstracts. The k-clique percolation method was used to extract local research communities within the network. Analysis of the shared vocabulary in research papers reflects the trends of collaboration and splintering among different disciplines in medicine. Our model identifies distinct communities within each discipline that preferentially collaborate with other communities within other domains of specialty, and overturns some common perceptions.Our analysis provides a tool to assess growth, merging, splitting and contraction of research communities and can thereby serve as a guide to inform policymakers about funding and training in healthcare. |
| first_indexed | 2024-12-16T14:39:27Z |
| format | Article |
| id | doaj.art-b84c992f95864b64b75ea6e373fd6381 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-16T14:39:27Z |
| publishDate | 2016-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-b84c992f95864b64b75ea6e373fd63812022-12-21T22:28:00ZengPublic Library of Science (PLoS)PLoS ONE1932-62032016-01-011112e016754610.1371/journal.pone.0167546Evolution of Communities in the Medical Sciences: Evidence from the Medical Words Network.Amir H ShiraziArash Badie ModiriSara HeydariJennifer L RohnGholam R JafariAli R ManiClassification of medical sciences into its sub-branches is crucial for optimum administration of healthcare and specialty training. Due to the rapid and continuous evolution of medical sciences, development of unbiased tools for monitoring the evolution of medical disciplines is required.Network analysis was used to explore how the medical sciences have evolved between 1980 and 2015 based on the shared words contained in more than 9 million PubMed abstracts. The k-clique percolation method was used to extract local research communities within the network. Analysis of the shared vocabulary in research papers reflects the trends of collaboration and splintering among different disciplines in medicine. Our model identifies distinct communities within each discipline that preferentially collaborate with other communities within other domains of specialty, and overturns some common perceptions.Our analysis provides a tool to assess growth, merging, splitting and contraction of research communities and can thereby serve as a guide to inform policymakers about funding and training in healthcare.http://europepmc.org/articles/PMC5135137?pdf=render |
| spellingShingle | Amir H Shirazi Arash Badie Modiri Sara Heydari Jennifer L Rohn Gholam R Jafari Ali R Mani Evolution of Communities in the Medical Sciences: Evidence from the Medical Words Network. PLoS ONE |
| title | Evolution of Communities in the Medical Sciences: Evidence from the Medical Words Network. |
| title_full | Evolution of Communities in the Medical Sciences: Evidence from the Medical Words Network. |
| title_fullStr | Evolution of Communities in the Medical Sciences: Evidence from the Medical Words Network. |
| title_full_unstemmed | Evolution of Communities in the Medical Sciences: Evidence from the Medical Words Network. |
| title_short | Evolution of Communities in the Medical Sciences: Evidence from the Medical Words Network. |
| title_sort | evolution of communities in the medical sciences evidence from the medical words network |
| url | http://europepmc.org/articles/PMC5135137?pdf=render |
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