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The Dynamic Interest in Topics within the Biomedical Scientific Community

Overview of attention for article published in PLOS ONE, August 2009
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Title
The Dynamic Interest in Topics within the Biomedical Scientific Community
Published in
PLOS ONE, August 2009
DOI 10.1371/journal.pone.0006544
Pubmed ID
Authors

Frederic Michon, Mark Tummers

Abstract

The increase in the size of the scientific community created an explosion in scientific production. We have analyzed the dynamics of biomedical scientific output during 1957-2007 by applying a bibliometric analysis of the PubMed database using different keywords representing specific biomedical topics. With the assumption that increased scientific interest will result in increased scientific output, we compared the output of specific topics to that of all scientific output. This analysis resulted in three broad categories of topics; those that follow the general trend of all scientific output, those that show highly variable output, and attractive topics which are new and grow explosively. The analysis of the citation impact of the scientific output resulted in a typical longtail distribution: the majority of journals and articles are of very low impact. This distribution has remained unchanged since 1957, although the interests of scientists must have shifted in this period. We therefore analyzed the distribution of articles in top journals and lower impact journals over time for the attractive topics. Novelty is rewarded by publication in top journals. Over time more articles are published in low impact journals progressively creating the longtail distribution, signifying acceptance of the topic by the community. There can be a gap of years between novelty and acceptance. Within topics temporary novelty is created with new subtopics. In conclusion, the longtail distribution is the foundation of the scientific output of the scientific community and can be used to examine different aspects of science practice.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 3%
Spain 1 3%
Canada 1 3%
Unknown 36 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 33%
Professor > Associate Professor 4 10%
Lecturer 3 8%
Student > Bachelor 3 8%
Student > Ph. D. Student 3 8%
Other 6 15%
Unknown 7 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 28%
Social Sciences 6 15%
Medicine and Dentistry 6 15%
Business, Management and Accounting 2 5%
Computer Science 2 5%
Other 5 13%
Unknown 7 18%