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Data-driven biological network alignment that uses topological, sequence, and functional information

Overview of attention for article published in BMC Bioinformatics, January 2021
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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 (81st percentile)

Mentioned by

blogs
1 blog
twitter
8 tweeters

Readers on

mendeley
12 Mendeley
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Title
Data-driven biological network alignment that uses topological, sequence, and functional information
Published in
BMC Bioinformatics, January 2021
DOI 10.1186/s12859-021-03971-6
Pubmed ID
Authors

Shawn Gu, Tijana Milenković

Twitter Demographics

The data shown below were collected from the profiles of 8 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 17%
Student > Ph. D. Student 2 17%
Lecturer > Senior Lecturer 1 8%
Lecturer 1 8%
Researcher 1 8%
Other 1 8%
Unknown 4 33%
Readers by discipline Count As %
Computer Science 4 33%
Biochemistry, Genetics and Molecular Biology 1 8%
Physics and Astronomy 1 8%
Medicine and Dentistry 1 8%
Unknown 5 42%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 01 March 2021.
All research outputs
#2,447,250
of 18,758,139 outputs
Outputs from BMC Bioinformatics
#927
of 6,428 outputs
Outputs of similar age
#66,587
of 363,122 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 1 outputs
Altmetric has tracked 18,758,139 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,428 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done well, scoring higher than 85% 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 363,122 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them