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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)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

news
2 news outlets
twitter
39 tweeters
reddit
1 Redditor

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
40 Mendeley
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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
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

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

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 30%
Researcher 10 25%
Student > Doctoral Student 4 10%
Student > Bachelor 2 5%
Professor > Associate Professor 2 5%
Other 6 15%
Unknown 4 10%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 20 50%
Agricultural and Biological Sciences 6 15%
Medicine and Dentistry 3 8%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Unspecified 1 3%
Other 3 8%
Unknown 5 13%

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 15 June 2019.
All research outputs
#494,106
of 14,055,331 outputs
Outputs from Molecular Systems Biology
#73
of 835 outputs
Outputs of similar age
#16,696
of 258,430 outputs
Outputs of similar age from Molecular Systems Biology
#4
of 7 outputs
Altmetric has tracked 14,055,331 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 835 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one has done particularly well, scoring higher than 91% 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 258,430 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 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.