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My personal mutanome: a computational genomic medicine platform for searching network perturbing alleles linking genotype to phenotype

Overview of attention for article published in Genome Biology (Online Edition), January 2021
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)

Mentioned by

news
18 news outlets
twitter
33 tweeters

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
34 Mendeley
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Title
My personal mutanome: a computational genomic medicine platform for searching network perturbing alleles linking genotype to phenotype
Published in
Genome Biology (Online Edition), January 2021
DOI 10.1186/s13059-021-02269-3
Pubmed ID
Authors

Yadi Zhou, Junfei Zhao, Jiansong Fang, William Martin, Lang Li, Ruth Nussinov, Timothy A. Chan, Charis Eng, Feixiong Cheng

Twitter Demographics

The data shown below were collected from the profiles of 33 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 21%
Professor > Associate Professor 5 15%
Student > Bachelor 3 9%
Student > Doctoral Student 3 9%
Student > Ph. D. Student 3 9%
Other 6 18%
Unknown 7 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 29%
Agricultural and Biological Sciences 7 21%
Computer Science 4 12%
Medicine and Dentistry 2 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 2 6%
Unknown 8 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 152. 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 23 March 2021.
All research outputs
#179,741
of 19,993,704 outputs
Outputs from Genome Biology (Online Edition)
#86
of 3,897 outputs
Outputs of similar age
#6,054
of 404,846 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 1 outputs
Altmetric has tracked 19,993,704 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,897 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.9. This one has done particularly well, scoring higher than 97% 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 404,846 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 98% 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