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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Single-cell ATAC-seq signal extraction and enhancement with SCATE
|
|---|---|
| Published in |
Genome Biology, July 2020
|
| DOI | 10.1186/s13059-020-02075-3 |
| Pubmed ID | |
| Authors |
Zhicheng Ji, Weiqiang Zhou, Wenpin Hou, Hongkai Ji |
X Demographics
The data shown below were collected from the profiles of 33 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 | 18 | 55% |
| Australia | 3 | 9% |
| China | 1 | 3% |
| France | 1 | 3% |
| United Kingdom | 1 | 3% |
| Italy | 1 | 3% |
| Austria | 1 | 3% |
| Unknown | 7 | 21% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 18 | 55% |
| Members of the public | 11 | 33% |
| Practitioners (doctors, other healthcare professionals) | 3 | 9% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 113 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 25 | 22% |
| Student > Bachelor | 14 | 12% |
| Researcher | 12 | 11% |
| Student > Master | 8 | 7% |
| Student > Postgraduate | 3 | 3% |
| Other | 8 | 7% |
| Unknown | 43 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 25 | 22% |
| Computer Science | 15 | 13% |
| Agricultural and Biological Sciences | 11 | 10% |
| Medicine and Dentistry | 4 | 4% |
| Engineering | 3 | 3% |
| Other | 10 | 9% |
| Unknown | 45 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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
#2,013,208
of 25,837,817 outputs
Outputs from Genome Biology
#1,687
of 4,513 outputs
Outputs of similar age
#55,538
of 434,186 outputs
Outputs of similar age from Genome Biology
#50
of 87 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,513 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.7. This one has gotten more attention than average, scoring higher than 62% 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 434,186 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 87% of its contemporaries.
We're also able to compare this research output to 87 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.