↓ Skip to main content

Methylome-based cell-of-origin modeling (Methyl-COOM) identifies aberrant expression of immune regulatory molecules in CLL

Overview of attention for article published in Genome Medicine, March 2020
Altmetric Badge

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 (75th percentile)

Mentioned by

twitter
12 tweeters

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
31 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
Methylome-based cell-of-origin modeling (Methyl-COOM) identifies aberrant expression of immune regulatory molecules in CLL
Published in
Genome Medicine, March 2020
DOI 10.1186/s13073-020-00724-7
Pubmed ID
Authors

Justyna A. Wierzbinska, Reka Toth, Naveed Ishaque, Karsten Rippe, Jan-Philipp Mallm, Lara C. Klett, Daniel Mertens, Thorsten Zenz, Thomas Hielscher, Marc Seifert, Ralf Küppers, Yassen Assenov, Pavlo Lutsik, Stephan Stilgenbauer, Philipp M. Roessner, Martina Seiffert, John Byrd, Christopher C. Oakes, Christoph Plass, Daniel B. Lipka

Twitter Demographics

The data shown below were collected from the profiles of 12 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 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 26%
Student > Ph. D. Student 6 19%
Student > Doctoral Student 3 10%
Student > Master 2 6%
Professor 2 6%
Other 4 13%
Unknown 6 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 26%
Agricultural and Biological Sciences 6 19%
Medicine and Dentistry 5 16%
Immunology and Microbiology 1 3%
Psychology 1 3%
Other 1 3%
Unknown 9 29%

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 09 April 2020.
All research outputs
#2,951,729
of 17,405,806 outputs
Outputs from Genome Medicine
#625
of 1,157 outputs
Outputs of similar age
#67,102
of 275,915 outputs
Outputs of similar age from Genome Medicine
#1
of 1 outputs
Altmetric has tracked 17,405,806 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,157 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.4. This one is in the 45th percentile – i.e., 45% 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 275,915 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 75% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them