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Linking aberrant chromatin features in chronic lymphocytic leukemia to transcription factor networks

Overview of attention for article published in Molecular Systems Biology, May 2019
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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 (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

news
2 news outlets
twitter
39 tweeters
reddit
1 Redditor

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
89 Mendeley
Summary News Twitter Reddit Dimensions citations
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
Linking aberrant chromatin features in chronic lymphocytic leukemia to transcription factor networks
Published in
Molecular Systems Biology, May 2019
DOI 10.15252/msb.20188339
Pubmed ID
31118277
Authors

Jan‐Philipp Mallm, Murat Iskar, Naveed Ishaque, Lara C Klett, Sabrina J Kugler, Jose M Muino, Vladimir B Teif, Alexandra M Poos, Sebastian Großmann, Fabian Erdel, Daniele Tavernari, Sandra D Koser, Sabrina Schumacher, Benedikt Brors, Rainer König, Daniel Remondini, Martin Vingron, Stephan Stilgenbauer, Peter Lichter, Marc Zapatka, Daniel Mertens, Karsten Rippe

View on publisher site

Twitter Demographics

The data shown below were collected from the profiles of 39 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 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 89 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 20%
Student > Ph. D. Student 15 17%
Student > Bachelor 8 9%
Student > Doctoral Student 7 8%
Student > Master 5 6%
Other 14 16%
Unknown 22 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 32 36%
Agricultural and Biological Sciences 13 15%
Medicine and Dentistry 6 7%
Chemistry 3 3%
Pharmacology, Toxicology and Pharmaceutical Science 2 2%
Other 7 8%
Unknown 26 29%

Attention Score in Context

This research output has an Altmetric Attention Score of 37. 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 08 July 2020.
All research outputs
#970,069
of 23,567,572 outputs
Outputs from Molecular Systems Biology
#139
of 1,109 outputs
Outputs of similar age
#23,011
of 351,587 outputs
Outputs of similar age from Molecular Systems Biology
#3
of 10 outputs
Altmetric has tracked 23,567,572 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,109 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.2. This one has done well, scoring higher than 87% 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 351,587 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 93% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.

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