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X Demographics
Mendeley readers
Attention Score in Context
| Title |
simATAC: a single-cell ATAC-seq simulation framework
|
|---|---|
| Published in |
Genome Biology, March 2021
|
| DOI | 10.1186/s13059-021-02270-w |
| Pubmed ID | |
| Authors |
Zeinab Navidi, Lin Zhang, Bo Wang |
X Demographics
The data shown below were collected from the profiles of 18 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 | 3 | 17% |
| Canada | 3 | 17% |
| United States | 3 | 17% |
| South Africa | 1 | 6% |
| Sweden | 1 | 6% |
| Italy | 1 | 6% |
| Unknown | 6 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 44% |
| Scientists | 8 | 44% |
| Science communicators (journalists, bloggers, editors) | 2 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 43% |
| Researcher | 6 | 15% |
| Other | 2 | 5% |
| Student > Master | 2 | 5% |
| Student > Bachelor | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 9 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 12 | 30% |
| Biochemistry, Genetics and Molecular Biology | 11 | 28% |
| Engineering | 2 | 5% |
| Medicine and Dentistry | 2 | 5% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 4 | 10% |
| Unknown | 8 | 20% |
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 12 April 2021.
All research outputs
#2,257,298
of 25,387,668 outputs
Outputs from Genome Biology
#1,862
of 4,470 outputs
Outputs of similar age
#60,492
of 451,431 outputs
Outputs of similar age from Genome Biology
#56
of 73 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st 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 58% 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 451,431 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 86% of its contemporaries.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.