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Protein complexes detection based on node local properties and gene expression in PPI weighted networks

Overview of attention for article published in BMC Bioinformatics, January 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
5 tweeters

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
7 Mendeley
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Title
Protein complexes detection based on node local properties and gene expression in PPI weighted networks
Published in
BMC Bioinformatics, January 2022
DOI 10.1186/s12859-021-04543-4
Pubmed ID
Authors

Yang Yu, Dezhou Kong

Twitter Demographics

The data shown below were collected from the profiles of 5 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 29%
Researcher 1 14%
Lecturer 1 14%
Unknown 3 43%
Readers by discipline Count As %
Computer Science 4 57%
Unknown 3 43%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 11 January 2022.
All research outputs
#13,463,735
of 22,858,915 outputs
Outputs from BMC Bioinformatics
#4,201
of 7,293 outputs
Outputs of similar age
#211,963
of 500,953 outputs
Outputs of similar age from BMC Bioinformatics
#84
of 145 outputs
Altmetric has tracked 22,858,915 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,293 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 38th percentile – i.e., 38% 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 500,953 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 145 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.