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Defining super-enhancers by highly ranked histone H4 multi-acetylation levels identifies transcription factors associated with glioblastoma stem-like properties

Overview of attention for article published in BMC Genomics, September 2023
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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 (79th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
14 X users

Citations

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3 Dimensions

Readers on

mendeley
7 Mendeley
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Title
Defining super-enhancers by highly ranked histone H4 multi-acetylation levels identifies transcription factors associated with glioblastoma stem-like properties
Published in
BMC Genomics, September 2023
DOI 10.1186/s12864-023-09659-w
Pubmed ID
Authors

Nando D. Das, Jen-Chien Chang, Chung-Chau Hon, S. Thomas Kelly, Shinsuke Ito, Marina Lizio, Bogumil Kaczkowski, Hisami Watanabe, Keisuke Katsushima, Atsushi Natsume, Haruhiko Koseki, Yutaka Kondo, Aki Minoda, Takashi Umehara

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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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

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 %
Lecturer > Senior Lecturer 1 14%
Student > Bachelor 1 14%
Professor 1 14%
Student > Ph. D. Student 1 14%
Student > Master 1 14%
Other 0 0%
Unknown 2 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 29%
Environmental Science 1 14%
Agricultural and Biological Sciences 1 14%
Medicine and Dentistry 1 14%
Unknown 2 29%
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 19 October 2023.
All research outputs
#4,451,586
of 25,728,350 outputs
Outputs from BMC Genomics
#1,671
of 11,309 outputs
Outputs of similar age
#68,085
of 358,048 outputs
Outputs of similar age from BMC Genomics
#18
of 129 outputs
Altmetric has tracked 25,728,350 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,309 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 85% 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 358,048 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 79% of its contemporaries.
We're also able to compare this research output to 129 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.