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.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Computational modeling of chromatin accessibility identified important epigenomic regulators
|
|---|---|
| Published in |
BMC Genomics, January 2022
|
| DOI | 10.1186/s12864-021-08234-5 |
| Pubmed ID | |
| Authors |
Yanding Zhao, Yadong Dong, Wei Hong, Chongming Jiang, Kevin Yao, Chao Cheng |
X Demographics
The data shown below were collected from the profiles of 19 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 | 4 | 21% |
| Sweden | 2 | 11% |
| Germany | 1 | 5% |
| United Kingdom | 1 | 5% |
| China | 1 | 5% |
| Pakistan | 1 | 5% |
| France | 1 | 5% |
| Unknown | 8 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 10 | 53% |
| Members of the public | 9 | 47% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 29% |
| Student > Ph. D. Student | 3 | 21% |
| Unknown | 7 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 36% |
| Agricultural and Biological Sciences | 1 | 7% |
| Physics and Astronomy | 1 | 7% |
| Medicine and Dentistry | 1 | 7% |
| Unknown | 6 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 23 April 2022.
All research outputs
#3,453,553
of 25,635,728 outputs
Outputs from BMC Genomics
#1,173
of 11,295 outputs
Outputs of similar age
#82,285
of 517,974 outputs
Outputs of similar age from BMC Genomics
#18
of 173 outputs
Altmetric has tracked 25,635,728 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,295 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 89% 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 517,974 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 84% of its contemporaries.
We're also able to compare this research output to 173 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.