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 |
Epiphany: predicting Hi-C contact maps from 1D epigenomic signals
|
|---|---|
| Published in |
Genome Biology, June 2023
|
| DOI | 10.1186/s13059-023-02934-9 |
| Pubmed ID | |
| Authors |
Rui Yang, Arnav Das, Vianne R. Gao, Alireza Karbalayghareh, William S. Noble, Jeffery A. Bilmes, Christina S. Leslie |
X Demographics
The data shown below were collected from the profiles of 29 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 | 7 | 24% |
| Netherlands | 3 | 10% |
| Thailand | 2 | 7% |
| France | 2 | 7% |
| Germany | 1 | 3% |
| India | 1 | 3% |
| China | 1 | 3% |
| Canada | 1 | 3% |
| Unknown | 11 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 17 | 59% |
| Members of the public | 12 | 41% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 31% |
| Student > Postgraduate | 1 | 6% |
| Professor | 1 | 6% |
| Professor > Associate Professor | 1 | 6% |
| Unknown | 8 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 19% |
| Agricultural and Biological Sciences | 2 | 13% |
| Computer Science | 1 | 6% |
| Immunology and Microbiology | 1 | 6% |
| Physics and Astronomy | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 7 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 August 2023.
All research outputs
#2,313,223
of 25,394,764 outputs
Outputs from Genome Biology
#1,907
of 4,470 outputs
Outputs of similar age
#43,387
of 384,727 outputs
Outputs of similar age from Genome Biology
#31
of 80 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,470 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 57% 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 384,727 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 88% of its contemporaries.
We're also able to compare this research output to 80 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 61% of its contemporaries.