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Prediction of enzyme function by combining sequence similarity and protein interactions

Overview of attention for article published in BMC Bioinformatics, May 2008
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
65 Mendeley
citeulike
5 CiteULike
connotea
1 Connotea
Title
Prediction of enzyme function by combining sequence similarity and protein interactions
Published in
BMC Bioinformatics, May 2008
DOI 10.1186/1471-2105-9-249
Pubmed ID
Authors

Jordi Espadaler, Narayanan Eswar, Enrique Querol, Francesc X Avilés, Andrej Sali, Marc A Marti-Renom, Baldomero Oliva

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 3%
Turkey 1 2%
France 1 2%
Netherlands 1 2%
Spain 1 2%
United States 1 2%
Unknown 58 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 23%
Student > Ph. D. Student 13 20%
Student > Master 9 14%
Professor > Associate Professor 5 8%
Professor 5 8%
Other 5 8%
Unknown 13 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 38%
Biochemistry, Genetics and Molecular Biology 15 23%
Computer Science 5 8%
Unspecified 1 2%
Immunology and Microbiology 1 2%
Other 4 6%
Unknown 14 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 31 January 2015.
All research outputs
#5,887,247
of 22,817,213 outputs
Outputs from BMC Bioinformatics
#2,166
of 7,284 outputs
Outputs of similar age
#24,264
of 83,229 outputs
Outputs of similar age from BMC Bioinformatics
#20
of 44 outputs
Altmetric has tracked 22,817,213 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 7,284 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 69% 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 83,229 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 70% of its contemporaries.
We're also able to compare this research output to 44 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.