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TOPSAN: a collaborative annotation environment for structural genomics

Overview of attention for article published in BMC Bioinformatics, August 2010
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

blogs
1 blog
wikipedia
1 Wikipedia page

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
36 Mendeley
citeulike
7 CiteULike
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Title
TOPSAN: a collaborative annotation environment for structural genomics
Published in
BMC Bioinformatics, August 2010
DOI 10.1186/1471-2105-11-426
Pubmed ID
Authors

Dana Weekes, S Sri Krishna, Constantina Bakolitsa, Ian A Wilson, Adam Godzik, John Wooley

Abstract

Many protein structures determined in high-throughput structural genomics centers, despite their significant novelty and importance, are available only as PDB depositions and are not accompanied by a peer-reviewed manuscript. Because of this they are not accessible by the standard tools of literature searches, remaining underutilized by the broad biological community.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 6%
Brazil 2 6%
Netherlands 1 3%
Australia 1 3%
China 1 3%
United Kingdom 1 3%
Unknown 28 78%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 28%
Student > Bachelor 6 17%
Professor > Associate Professor 4 11%
Student > Ph. D. Student 4 11%
Other 2 6%
Other 6 17%
Unknown 4 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 47%
Biochemistry, Genetics and Molecular Biology 5 14%
Computer Science 3 8%
Medicine and Dentistry 2 6%
Philosophy 1 3%
Other 4 11%
Unknown 4 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 16 April 2011.
All research outputs
#3,697,286
of 22,655,397 outputs
Outputs from BMC Bioinformatics
#1,405
of 7,236 outputs
Outputs of similar age
#15,712
of 94,437 outputs
Outputs of similar age from BMC Bioinformatics
#7
of 45 outputs
Altmetric has tracked 22,655,397 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,236 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 done well, scoring higher than 80% 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 94,437 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.