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Specificity and Evolvability in Eukaryotic Protein Interaction Networks

Overview of attention for article published in PLoS Computational Biology, February 2007
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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 (90th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

blogs
2 blogs

Readers on

mendeley
166 Mendeley
citeulike
14 CiteULike
connotea
9 Connotea
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Title
Specificity and Evolvability in Eukaryotic Protein Interaction Networks
Published in
PLoS Computational Biology, February 2007
DOI 10.1371/journal.pcbi.0030025
Pubmed ID
Authors

Pedro Beltrao, Luis Serrano

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 166 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 10 6%
United Kingdom 6 4%
Germany 3 2%
Netherlands 2 1%
Portugal 2 1%
Spain 2 1%
Australia 1 <1%
Brazil 1 <1%
Sweden 1 <1%
Other 10 6%
Unknown 128 77%

Demographic breakdown

Readers by professional status Count As %
Researcher 53 32%
Student > Ph. D. Student 45 27%
Professor > Associate Professor 16 10%
Student > Master 12 7%
Student > Bachelor 8 5%
Other 25 15%
Unknown 7 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 107 64%
Biochemistry, Genetics and Molecular Biology 20 12%
Computer Science 14 8%
Mathematics 3 2%
Physics and Astronomy 3 2%
Other 8 5%
Unknown 11 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 13 October 2016.
All research outputs
#3,048,529
of 25,374,917 outputs
Outputs from PLoS Computational Biology
#2,696
of 8,960 outputs
Outputs of similar age
#8,496
of 92,462 outputs
Outputs of similar age from PLoS Computational Biology
#5
of 23 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 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 92,462 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.