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Optimizing a global alignment of protein interaction networks

Overview of attention for article published in Bioinformatics, September 2013
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1 X user
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49 Mendeley
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7 CiteULike
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Article details
Title
Optimizing a global alignment of protein interaction networks
Published in
Bioinformatics, September 2013
DOI 10.1093/bioinformatics/btt486
Pubmed ID
Authors
Abstract

The global alignment of protein interaction networks is a widely studied problem. It is an important first step in understanding the relationship between the proteins in different species and identifying functional orthologs. Furthermore, it can provide useful insights into the species' evolution.

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Timeline Attention over time Attention Score history
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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 2 4%
Ukraine 1 2%
India 1 2%
Spain 1 2%
Germany 1 2%
Unknown 43 88%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 10 20%
Student > Ph. D. Student 9 18%
Student > Master 9 18%
Professor 5 10%
Student > Bachelor 2 4%
Other 6 12%
Unknown 8 16%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 18 37%
Computer Science 14 29%
Biochemistry, Genetics and Molecular Biology 6 12%
Engineering 2 4%
Unknown 9 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 17 November 2025.
All research outputs
#23,605,270
of 29,684,445 outputs
Outputs from Bioinformatics
#11,896
of 13,529 outputs
Outputs of similar age
#166,620
of 222,678 outputs
Outputs of similar age from Bioinformatics
#171
of 195 outputs
Altmetric has tracked 29,684,445 research outputs across all sources so far. This one is in the 17th percentile – i.e., 17% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,529 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 8th percentile – i.e., 8% 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 222,678 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 195 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.