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Identification of highly related references about gene-disease association

Overview of attention for article published in BMC Bioinformatics, August 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

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7 X users
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1 research highlight platform

Citations

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8 Dimensions

Readers on

mendeley
23 Mendeley
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2 CiteULike
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Title
Identification of highly related references about gene-disease association
Published in
BMC Bioinformatics, August 2014
DOI 10.1186/1471-2105-15-286
Pubmed ID
Authors

Rey-Long Liu, Chia-Chun Shih

Abstract

Curation of gene-disease associations published in literature should be based on careful and frequent survey of the references that are highly related to specific gene-disease associations. Retrieval of the references is thus essential for timely and complete curation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 4%
Netherlands 1 4%
France 1 4%
United Kingdom 1 4%
Spain 1 4%
Unknown 18 78%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 39%
Student > Ph. D. Student 7 30%
Student > Master 3 13%
Other 1 4%
Professor > Associate Professor 1 4%
Other 0 0%
Unknown 2 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 39%
Computer Science 8 35%
Biochemistry, Genetics and Molecular Biology 2 9%
Nursing and Health Professions 1 4%
Immunology and Microbiology 1 4%
Other 1 4%
Unknown 1 4%
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 30 October 2014.
All research outputs
#6,779,244
of 22,761,738 outputs
Outputs from BMC Bioinformatics
#2,580
of 7,273 outputs
Outputs of similar age
#66,275
of 235,902 outputs
Outputs of similar age from BMC Bioinformatics
#50
of 113 outputs
Altmetric has tracked 22,761,738 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 7,273 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 63% 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 235,902 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 71% of its contemporaries.
We're also able to compare this research output to 113 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 54% of its contemporaries.