↓ Skip to main content

Accurate Prediction of Peptide Binding Sites on Protein Surfaces

Overview of attention for article published in PLoS Computational Biology, March 2009
Altmetric Badge

Mentioned by

patent
2 patents

Citations

dimensions_citation
142 Dimensions

Readers on

mendeley
238 Mendeley
citeulike
15 CiteULike
connotea
1 Connotea
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Accurate Prediction of Peptide Binding Sites on Protein Surfaces
Published in
PLoS Computational Biology, March 2009
DOI 10.1371/journal.pcbi.1000335
Pubmed ID
Authors

Evangelia Petsalaki, Alexander Stark, Eduardo García-Urdiales, Robert B. Russell

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 238 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 12 5%
Germany 9 4%
United Kingdom 5 2%
Italy 2 <1%
India 2 <1%
Ireland 1 <1%
France 1 <1%
Chile 1 <1%
Brazil 1 <1%
Other 12 5%
Unknown 192 81%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 72 30%
Researcher 59 25%
Student > Master 26 11%
Professor > Associate Professor 15 6%
Professor 14 6%
Other 38 16%
Unknown 14 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 105 44%
Biochemistry, Genetics and Molecular Biology 47 20%
Chemistry 23 10%
Computer Science 18 8%
Engineering 6 3%
Other 18 8%
Unknown 21 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 20 December 2022.
All research outputs
#8,534,976
of 25,374,647 outputs
Outputs from PLoS Computational Biology
#5,637
of 8,960 outputs
Outputs of similar age
#37,959
of 107,339 outputs
Outputs of similar age from PLoS Computational Biology
#28
of 50 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
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 107,339 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.