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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Early aberrant DNA methylation events in a mouse model of acute myeloid leukemia
|
|---|---|
| Published in |
Genome Medicine, April 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. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 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 | 53 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 18% |
| Student > Master | 10 | 18% |
| Researcher | 9 | 16% |
| Student > Bachelor | 4 | 7% |
| Student > Doctoral Student | 4 | 7% |
| Other | 14 | 25% |
| Unknown | 4 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 19 | 35% |
| Biochemistry, Genetics and Molecular Biology | 13 | 24% |
| Medicine and Dentistry | 10 | 18% |
| Computer Science | 2 | 4% |
| Immunology and Microbiology | 2 | 4% |
| Other | 4 | 7% |
| Unknown | 5 | 9% |
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
#4,206,324
of 25,374,917 outputs
Outputs from Genome Medicine
#843
of 1,585 outputs
Outputs of similar age
#39,550
of 241,759 outputs
Outputs of similar age from Genome Medicine
#13
of 23 outputs
Altmetric has tracked 25,374,917 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 1,585 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one is in the 46th percentile – i.e., 46% 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 241,759 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 23 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.