↓ Skip to main content

CRUP: a comprehensive framework to predict condition-specific regulatory units

Overview of attention for article published in Genome Biology (Online Edition), November 2019
Altmetric Badge

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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
7 news outlets
blogs
2 blogs
twitter
40 tweeters
facebook
2 Facebook pages

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
64 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
CRUP: a comprehensive framework to predict condition-specific regulatory units
Published in
Genome Biology (Online Edition), November 2019
DOI 10.1186/s13059-019-1860-7
Pubmed ID
Authors

Anna Ramisch, Verena Heinrich, Laura V. Glaser, Alisa Fuchs, Xinyi Yang, Philipp Benner, Robert Schöpflin, Na Li, Sarah Kinkley, Anja Römer-Hillmann, John Longinotto, Steffen Heyne, Beate Czepukojc, Sonja M. Kessler, Alexandra K. Kiemer, Cristina Cadenas, Laura Arrigoni, Nina Gasparoni, Thomas Manke, Thomas Pap, John A. Pospisilik, Jan Hengstler, Jörn Walter, Sebastiaan H. Meijsing, Ho-Ryun Chung, Martin Vingron

Twitter Demographics

The data shown below were collected from the profiles of 40 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 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 64 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 23%
Student > Ph. D. Student 13 20%
Student > Master 11 17%
Student > Bachelor 5 8%
Student > Doctoral Student 2 3%
Other 4 6%
Unknown 14 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 27 42%
Agricultural and Biological Sciences 8 13%
Computer Science 3 5%
Arts and Humanities 2 3%
Medicine and Dentistry 2 3%
Other 3 5%
Unknown 19 30%

Attention Score in Context

This research output has an Altmetric Attention Score of 86. 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 29 November 2019.
All research outputs
#362,500
of 20,767,801 outputs
Outputs from Genome Biology (Online Edition)
#253
of 3,979 outputs
Outputs of similar age
#10,750
of 348,722 outputs
Outputs of similar age from Genome Biology (Online Edition)
#36
of 289 outputs
Altmetric has tracked 20,767,801 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,979 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.2. This one has done particularly well, scoring higher than 93% 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 348,722 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 96% of its contemporaries.
We're also able to compare this research output to 289 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.