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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genome-wide analysis of DNA methylation patterns in horse
|
|---|---|
| Published in |
BMC Genomics, July 2014
|
| DOI | 10.1186/1471-2164-15-598 |
| Pubmed ID | |
| Authors |
Ja-Rang Lee, Chang Pyo Hong, Jae-Woo Moon, Yi-Deun Jung, Dae-Soo Kim, Tae-Hyung Kim, Jeong-An Gim, Jin-Han Bae, Yuri Choi, Jungwoo Eo, Yun-Jeong Kwon, Sanghoon Song, Junsu Ko, Young Mok Yang, Hak-Kyo Lee, Kyung-Do Park, Kung Ahn, Kyoung-Tag Do, Hong-Seok Ha, Kyudong Han, Joo Mi Yi, Hee-Jae Cha, Byung-Wook Cho, Jong Bhak, Heui-Soo Kim |
| Abstract |
DNA methylation is an epigenetic regulatory mechanism that plays an essential role in mediating biological processes and determining phenotypic plasticity in organisms. Although the horse reference genome and whole transcriptome data are publically available the global DNA methylation data are yet to be known. |
X Demographics
The data shown below were collected from the profiles of 5 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 | 2 | 40% |
| United States | 1 | 20% |
| France | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | 2% |
| Unknown | 57 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 17% |
| Student > Ph. D. Student | 9 | 16% |
| Professor | 5 | 9% |
| Student > Bachelor | 5 | 9% |
| Professor > Associate Professor | 5 | 9% |
| Other | 13 | 22% |
| Unknown | 11 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 26 | 45% |
| Biochemistry, Genetics and Molecular Biology | 10 | 17% |
| Veterinary Science and Veterinary Medicine | 2 | 3% |
| Chemistry | 2 | 3% |
| Medicine and Dentistry | 2 | 3% |
| Other | 5 | 9% |
| Unknown | 11 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 13 March 2015.
All research outputs
#7,550,376
of 24,792,414 outputs
Outputs from BMC Genomics
#3,252
of 11,067 outputs
Outputs of similar age
#66,977
of 232,478 outputs
Outputs of similar age from BMC Genomics
#56
of 201 outputs
Altmetric has tracked 24,792,414 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 11,067 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 69% 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 232,478 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 201 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 71% of its contemporaries.