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Early aberrant DNA methylation events in a mouse model of acute myeloid leukemia

Overview of attention for article published in Genome Medicine, January 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

blogs
1 blog
twitter
2 tweeters

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
53 Mendeley
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Title
Early aberrant DNA methylation events in a mouse model of acute myeloid leukemia
Published in
Genome Medicine, January 2014
DOI 10.1186/gm551
Pubmed ID
Authors

Miriam Sonnet, Rainer Claus, Natalia Becker, Manuela Zucknick, Jana Petersen, Daniel B Lipka, Christopher C Oakes, Mindaugas Andrulis, Amelie Lier, Michael D Milsom, Tania Witte, Lei Gu, Soo-Zin Kim-Wanner, Peter Schirmacher, Michael Wulfert, Norbert Gattermann, Michael Lübbert, Frank Rosenbauer, Michael Rehli, Lars Bullinger, Dieter Weichenhan, Christoph Plass

Abstract

Aberrant DNA methylation is frequently found in human malignancies including acute myeloid leukemia (AML). While most studies focus on later disease stages, the onset of aberrant DNA methylation events and their dynamics during leukemic progression are largely unknown.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
South Africa 1 2%
Unknown 51 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 19%
Student > Master 10 19%
Researcher 9 17%
Student > Bachelor 4 8%
Student > Doctoral Student 4 8%
Other 13 25%
Unknown 3 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 36%
Biochemistry, Genetics and Molecular Biology 13 25%
Medicine and Dentistry 10 19%
Immunology and Microbiology 2 4%
Neuroscience 2 4%
Other 3 6%
Unknown 4 8%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 04 June 2014.
All research outputs
#3,351,942
of 21,332,163 outputs
Outputs from Genome Medicine
#706
of 1,355 outputs
Outputs of similar age
#33,442
of 204,926 outputs
Outputs of similar age from Genome Medicine
#7
of 16 outputs
Altmetric has tracked 21,332,163 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,355 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.9. This one is in the 47th percentile – i.e., 47% 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 204,926 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 83% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.