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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genome-wide enhancer annotations differ significantly in genomic distribution, evolution, and function
|
|---|---|
| Published in |
BMC Genomics, June 2019
|
| DOI | 10.1186/s12864-019-5779-x |
| Pubmed ID | |
| Authors |
Mary Lauren Benton, Sai Charan Talipineni, Dennis Kostka, John A. Capra |
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 % |
|---|---|---|
| Spain | 2 | 20% |
| Argentina | 1 | 10% |
| United States | 1 | 10% |
| Germany | 1 | 10% |
| India | 1 | 10% |
| Unknown | 4 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 60% |
| Members of the public | 4 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 137 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 37 | 27% |
| Researcher | 20 | 15% |
| Student > Master | 13 | 9% |
| Student > Bachelor | 10 | 7% |
| Student > Doctoral Student | 10 | 7% |
| Other | 21 | 15% |
| Unknown | 26 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 60 | 44% |
| Agricultural and Biological Sciences | 34 | 25% |
| Computer Science | 4 | 3% |
| Mathematics | 2 | 1% |
| Neuroscience | 2 | 1% |
| Other | 6 | 4% |
| Unknown | 29 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 22 April 2022.
All research outputs
#2,284,697
of 23,575,346 outputs
Outputs from BMC Genomics
#660
of 10,767 outputs
Outputs of similar age
#49,842
of 353,210 outputs
Outputs of similar age from BMC Genomics
#15
of 249 outputs
Altmetric has tracked 23,575,346 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 10,767 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 93% 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 353,210 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 85% of its contemporaries.
We're also able to compare this research output to 249 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.