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Deciphering Protein–Protein Interactions. Part II. Computational Methods to Predict Protein and Domain Interaction Partners

Overview of attention for article published in PLoS Computational Biology, April 2007
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Mentioned by

q&a
1 Q&A thread

Citations

dimensions_citation
297 Dimensions

Readers on

mendeley
499 Mendeley
citeulike
43 CiteULike
connotea
9 Connotea
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Title
Deciphering Protein–Protein Interactions. Part II. Computational Methods to Predict Protein and Domain Interaction Partners
Published in
PLoS Computational Biology, April 2007
DOI 10.1371/journal.pcbi.0030043
Pubmed ID
Authors

Benjamin A Shoemaker, Anna R Panchenko

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 499 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 16 3%
Germany 9 2%
United Kingdom 8 2%
France 5 1%
Spain 5 1%
Brazil 4 <1%
India 4 <1%
China 3 <1%
Denmark 3 <1%
Other 20 4%
Unknown 422 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 130 26%
Researcher 129 26%
Student > Master 62 12%
Student > Bachelor 33 7%
Professor > Associate Professor 29 6%
Other 88 18%
Unknown 28 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 265 53%
Biochemistry, Genetics and Molecular Biology 84 17%
Computer Science 40 8%
Chemistry 25 5%
Engineering 13 3%
Other 37 7%
Unknown 35 7%
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 25 October 2010.
All research outputs
#14,615,224
of 25,394,764 outputs
Outputs from PLoS Computational Biology
#6,134
of 8,964 outputs
Outputs of similar age
#73,617
of 86,777 outputs
Outputs of similar age from PLoS Computational Biology
#23
of 28 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
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 is in the 29th percentile – i.e., 29% 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 86,777 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.