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LePrimAlign: local entropy-based alignment of PPI networks to predict conserved modules

Overview of attention for article published in BMC Genomics, December 2019
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Mentioned by

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1 X user

Citations

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6 Dimensions

Readers on

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10 Mendeley
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Title
LePrimAlign: local entropy-based alignment of PPI networks to predict conserved modules
Published in
BMC Genomics, December 2019
DOI 10.1186/s12864-019-6271-3
Pubmed ID
Authors

Sawal Maskey, Young-Rae Cho

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 30%
Student > Master 2 20%
Researcher 2 20%
Professor 1 10%
Unknown 2 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 30%
Computer Science 2 20%
Agricultural and Biological Sciences 1 10%
Medicine and Dentistry 1 10%
Unknown 3 30%
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 10 May 2020.
All research outputs
#19,015,492
of 23,577,654 outputs
Outputs from BMC Genomics
#8,323
of 10,777 outputs
Outputs of similar age
#338,386
of 460,196 outputs
Outputs of similar age from BMC Genomics
#174
of 257 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,777 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% 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 460,196 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 257 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.