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Computational Analysis and Prediction of the Binding Motif and Protein Interacting Partners of the Abl SH3 Domain

Overview of attention for article published in PLoS Computational Biology, January 2006
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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 (87th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

blogs
1 blog
f1000
1 research highlight platform

Citations

dimensions_citation
151 Dimensions

Readers on

mendeley
115 Mendeley
citeulike
6 CiteULike
connotea
2 Connotea
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Title
Computational Analysis and Prediction of the Binding Motif and Protein Interacting Partners of the Abl SH3 Domain
Published in
PLoS Computational Biology, January 2006
DOI 10.1371/journal.pcbi.0020001
Pubmed ID
Authors

Tingjun Hou, Ken Chen, William A McLaughlin, Benzhuo Lu, Wei Wang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 5%
Germany 3 3%
Denmark 3 3%
China 2 2%
Italy 1 <1%
Turkey 1 <1%
Australia 1 <1%
Poland 1 <1%
Unknown 97 84%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 32%
Researcher 28 24%
Professor > Associate Professor 11 10%
Student > Master 8 7%
Professor 6 5%
Other 18 16%
Unknown 7 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 53 46%
Biochemistry, Genetics and Molecular Biology 20 17%
Chemistry 15 13%
Computer Science 8 7%
Pharmacology, Toxicology and Pharmaceutical Science 3 3%
Other 8 7%
Unknown 8 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 08 April 2008.
All research outputs
#5,333,357
of 25,394,764 outputs
Outputs from PLoS Computational Biology
#4,069
of 8,964 outputs
Outputs of similar age
#21,273
of 169,951 outputs
Outputs of similar age from PLoS Computational Biology
#7
of 19 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,964 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has gotten more attention than average, scoring higher than 54% 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 169,951 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 87% of its contemporaries.
We're also able to compare this research output to 19 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 63% of its contemporaries.