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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
scSNV: accurate dscRNA-seq SNV co-expression analysis using duplicate tag collapsing
|
|---|---|
| Published in |
Genome Biology, May 2021
|
| DOI | 10.1186/s13059-021-02364-5 |
| Pubmed ID | |
| Authors |
Gavin W. Wilson, Mathieu Derouet, Gail E. Darling, Jonathan C. Yeung |
Twitter Demographics
The data shown below were collected from the profiles of 26 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 19% |
| United Kingdom | 4 | 15% |
| Canada | 3 | 12% |
| India | 2 | 8% |
| Netherlands | 2 | 8% |
| Sweden | 1 | 4% |
| Italy | 1 | 4% |
| China | 1 | 4% |
| Unknown | 7 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 54% |
| Scientists | 10 | 38% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 32% |
| Researcher | 4 | 16% |
| Student > Bachelor | 2 | 8% |
| Professor > Associate Professor | 2 | 8% |
| Student > Master | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 5 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 32% |
| Computer Science | 3 | 12% |
| Unspecified | 2 | 8% |
| Agricultural and Biological Sciences | 2 | 8% |
| Business, Management and Accounting | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 6 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 17 December 2022.
All research outputs
#1,724,339
of 24,003,070 outputs
Outputs from Genome Biology
#1,494
of 4,279 outputs
Outputs of similar age
#45,010
of 430,478 outputs
Outputs of similar age from Genome Biology
#49
of 94 outputs
Altmetric has tracked 24,003,070 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 4,279 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.9. This one has gotten more attention than average, scoring higher than 65% 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 430,478 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 89% of its contemporaries.
We're also able to compare this research output to 94 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.