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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Global loss of DNA methylation uncovers intronic enhancers in genes showing expression changes
|
|---|---|
| Published in |
Genome Biology, September 2014
|
| DOI | 10.1186/s13059-014-0469-0 |
| Pubmed ID | |
| Authors |
Adam Blattler, Lijing Yao, Heather Witt, Yu Guo, Charles M Nicolet, Benjamin P Berman, Peggy J Farnham |
X Demographics
The data shown below were collected from the profiles of 10 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 States | 3 | 30% |
| United Kingdom | 1 | 10% |
| Tunisia | 1 | 10% |
| Hungary | 1 | 10% |
| Spain | 1 | 10% |
| Unknown | 3 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 50% |
| Members of the public | 4 | 40% |
| Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 189 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| Ireland | 1 | <1% |
| Sweden | 1 | <1% |
| Norway | 1 | <1% |
| New Zealand | 1 | <1% |
| United Kingdom | 1 | <1% |
| Spain | 1 | <1% |
| Belgium | 1 | <1% |
| Unknown | 179 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 57 | 30% |
| Researcher | 34 | 18% |
| Student > Master | 20 | 11% |
| Student > Doctoral Student | 13 | 7% |
| Student > Bachelor | 12 | 6% |
| Other | 28 | 15% |
| Unknown | 25 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 71 | 38% |
| Biochemistry, Genetics and Molecular Biology | 58 | 31% |
| Computer Science | 10 | 5% |
| Medicine and Dentistry | 5 | 3% |
| Mathematics | 2 | 1% |
| Other | 10 | 5% |
| Unknown | 33 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 29 November 2018.
All research outputs
#3,042,606
of 25,837,817 outputs
Outputs from Genome Biology
#2,256
of 4,513 outputs
Outputs of similar age
#31,850
of 264,832 outputs
Outputs of similar age from Genome Biology
#33
of 102 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,513 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.7. This one is in the 49th percentile – i.e., 49% 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 264,832 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 87% of its contemporaries.
We're also able to compare this research output to 102 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 67% of its contemporaries.