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Social tagging in the life sciences: characterizing a new metadata resource for bioinformatics

Overview of attention for article published in BMC Bioinformatics, September 2009
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

twitter
1 X user
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
122 Mendeley
citeulike
65 CiteULike
connotea
13 Connotea
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Title
Social tagging in the life sciences: characterizing a new metadata resource for bioinformatics
Published in
BMC Bioinformatics, September 2009
DOI 10.1186/1471-2105-10-313
Pubmed ID
Authors

Benjamin M Good, Joseph T Tennis, Mark D Wilkinson

Abstract

Academic social tagging systems, such as Connotea and CiteULike, provide researchers with a means to organize personal collections of online references with keywords (tags) and to share these collections with others. One of the side-effects of the operation of these systems is the generation of large, publicly accessible metadata repositories describing the resources in the collections. In light of the well-known expansion of information in the life sciences and the need for metadata to enhance its value, these repositories present a potentially valuable new resource for application developers. Here we characterize the current contents of two scientifically relevant metadata repositories created through social tagging. This investigation helps to establish how such socially constructed metadata might be used as it stands currently and to suggest ways that new social tagging systems might be designed that would yield better aggregate products.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 11 9%
Spain 6 5%
United Kingdom 6 5%
Germany 4 3%
Canada 4 3%
France 3 2%
Mexico 3 2%
Netherlands 2 2%
Sweden 1 <1%
Other 4 3%
Unknown 78 64%

Demographic breakdown

Readers by professional status Count As %
Researcher 35 29%
Librarian 14 11%
Other 14 11%
Student > Ph. D. Student 14 11%
Student > Master 14 11%
Other 26 21%
Unknown 5 4%
Readers by discipline Count As %
Computer Science 40 33%
Agricultural and Biological Sciences 29 24%
Social Sciences 15 12%
Medicine and Dentistry 7 6%
Psychology 4 3%
Other 19 16%
Unknown 8 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 04 September 2020.
All research outputs
#6,922,951
of 22,701,287 outputs
Outputs from BMC Bioinformatics
#2,683
of 7,254 outputs
Outputs of similar age
#31,174
of 92,932 outputs
Outputs of similar age from BMC Bioinformatics
#21
of 54 outputs
Altmetric has tracked 22,701,287 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 7,254 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 61% 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 92,932 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 65% of its contemporaries.
We're also able to compare this research output to 54 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 59% of its contemporaries.