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X Demographics
Mendeley readers
Attention Score in Context
| Title |
scDesign2: a transparent simulator that generates high-fidelity single-cell gene expression count data with gene correlations captured
|
|---|---|
| Published in |
Genome Biology, May 2021
|
| DOI | 10.1186/s13059-021-02367-2 |
| Pubmed ID | |
| Authors |
Tianyi Sun, Dongyuan Song, Wei Vivian Li, Jingyi Jessica Li |
X Demographics
The data shown below were collected from the profiles of 67 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 | 12 | 18% |
| Brazil | 3 | 4% |
| United Kingdom | 3 | 4% |
| Switzerland | 2 | 3% |
| South Africa | 2 | 3% |
| Germany | 2 | 3% |
| France | 2 | 3% |
| Italy | 2 | 3% |
| Australia | 2 | 3% |
| Other | 9 | 13% |
| Unknown | 28 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 51 | 76% |
| Scientists | 15 | 22% |
| Science communicators (journalists, bloggers, editors) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 68 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 21% |
| Researcher | 10 | 15% |
| Student > Bachelor | 5 | 7% |
| Student > Doctoral Student | 3 | 4% |
| Professor | 3 | 4% |
| Other | 7 | 10% |
| Unknown | 26 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 17 | 25% |
| Computer Science | 11 | 16% |
| Agricultural and Biological Sciences | 4 | 6% |
| Mathematics | 2 | 3% |
| Neuroscience | 2 | 3% |
| Other | 4 | 6% |
| Unknown | 28 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 30. 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 10 January 2024.
All research outputs
#1,322,195
of 25,769,258 outputs
Outputs from Genome Biology
#1,016
of 4,508 outputs
Outputs of similar age
#34,189
of 462,729 outputs
Outputs of similar age from Genome Biology
#28
of 98 outputs
Altmetric has tracked 25,769,258 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,508 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 done well, scoring higher than 77% 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 462,729 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 98 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 71% of its contemporaries.