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Integrating GPCR-specific information with full text articles

Overview of attention for article published in BMC Bioinformatics, September 2011
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
37 Mendeley
citeulike
7 CiteULike
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Title
Integrating GPCR-specific information with full text articles
Published in
BMC Bioinformatics, September 2011
DOI 10.1186/1471-2105-12-362
Pubmed ID
Authors

Bas Vroling, David Thorne, Philip McDermott, Teresa K Attwood, Gert Vriend, Steve Pettifer

Abstract

With the continued growth in the volume both of experimental G protein-coupled receptor (GPCR) data and of the related peer-reviewed literature, the ability of GPCR researchers to keep up-to-date is becoming increasingly curtailed.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 5%
United Kingdom 1 3%
Portugal 1 3%
Austria 1 3%
Unknown 32 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 32%
Student > Ph. D. Student 7 19%
Student > Master 5 14%
Student > Postgraduate 3 8%
Professor > Associate Professor 3 8%
Other 5 14%
Unknown 2 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 46%
Computer Science 8 22%
Biochemistry, Genetics and Molecular Biology 3 8%
Medicine and Dentistry 2 5%
Social Sciences 1 3%
Other 3 8%
Unknown 3 8%
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 27 November 2011.
All research outputs
#7,374,942
of 25,432,721 outputs
Outputs from BMC Bioinformatics
#2,661
of 7,704 outputs
Outputs of similar age
#40,700
of 137,069 outputs
Outputs of similar age from BMC Bioinformatics
#37
of 87 outputs
Altmetric has tracked 25,432,721 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 7,704 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. 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 137,069 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 68% of its contemporaries.
We're also able to compare this research output to 87 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 56% of its contemporaries.