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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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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
39 Mendeley
citeulike
9 CiteULike
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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%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 August 2009.
All research outputs
#5,691,099
of 22,707,247 outputs
Outputs from PLOS ONE
#69,053
of 193,889 outputs
Outputs of similar age
#30,235
of 110,906 outputs
Outputs of similar age from PLOS ONE
#207
of 501 outputs
Altmetric has tracked 22,707,247 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 193,889 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has gotten more attention than average, scoring higher than 64% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 110,906 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 501 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.