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Mapping the evolving landscape of super-enhancers during cell differentiation

Overview of attention for article published in Genome Biology, September 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)

Mentioned by

twitter
14 X users

Citations

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22 Dimensions

Readers on

mendeley
53 Mendeley
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Title
Mapping the evolving landscape of super-enhancers during cell differentiation
Published in
Genome Biology, September 2021
DOI 10.1186/s13059-021-02485-x
Pubmed ID
Authors

Yan Kai, Bin E. Li, Ming Zhu, Grace Y. Li, Fei Chen, Yingli Han, Hye Ji Cha, Stuart H. Orkin, Wenqing Cai, Jialiang Huang, Guo-Cheng Yuan

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 X users 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 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 23%
Researcher 9 17%
Professor > Associate Professor 4 8%
Student > Master 4 8%
Student > Postgraduate 3 6%
Other 4 8%
Unknown 17 32%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 18 34%
Agricultural and Biological Sciences 8 15%
Computer Science 1 2%
Social Sciences 1 2%
Medicine and Dentistry 1 2%
Other 1 2%
Unknown 23 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 17 August 2022.
All research outputs
#4,792,124
of 25,392,582 outputs
Outputs from Genome Biology
#2,789
of 4,470 outputs
Outputs of similar age
#100,818
of 433,874 outputs
Outputs of similar age from Genome Biology
#62
of 83 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,470 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 37th percentile – i.e., 37% 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 433,874 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 76% of its contemporaries.
We're also able to compare this research output to 83 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.