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Lisa: inferring transcriptional regulators through integrative modeling of public chromatin accessibility and ChIP-seq data

Overview of attention for article published in Genome Biology (Online Edition), February 2020
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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 (91st percentile)

Mentioned by

blogs
1 blog
twitter
33 tweeters

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
62 Mendeley
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Title
Lisa: inferring transcriptional regulators through integrative modeling of public chromatin accessibility and ChIP-seq data
Published in
Genome Biology (Online Edition), February 2020
DOI 10.1186/s13059-020-1934-6
Pubmed ID
Authors

Qian Qin, Jingyu Fan, Rongbin Zheng, Changxin Wan, Shenglin Mei, Qiu Wu, Hanfei Sun, Myles Brown, Jing Zhang, Clifford A. Meyer, X. Shirley Liu

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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 29%
Researcher 15 24%
Student > Bachelor 7 11%
Student > Master 6 10%
Professor 3 5%
Other 6 10%
Unknown 7 11%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 20 32%
Agricultural and Biological Sciences 15 24%
Computer Science 4 6%
Immunology and Microbiology 3 5%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Other 8 13%
Unknown 10 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 13 November 2020.
All research outputs
#917,661
of 16,639,069 outputs
Outputs from Genome Biology (Online Edition)
#881
of 3,507 outputs
Outputs of similar age
#27,051
of 327,183 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 1 outputs
Altmetric has tracked 16,639,069 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,507 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.2. This one has gotten more attention than average, scoring higher than 74% 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 327,183 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 91% 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