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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Vireo: Bayesian demultiplexing of pooled single-cell RNA-seq data without genotype reference
|
|---|---|
| Published in |
Genome Biology, December 2019
|
| DOI | 10.1186/s13059-019-1865-2 |
| Pubmed ID | |
| Authors |
Yuanhua Huang, Davis J. McCarthy, Oliver Stegle |
X Demographics
The data shown below were collected from the profiles of 80 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 | 19 | 24% |
| United Kingdom | 13 | 16% |
| Germany | 9 | 11% |
| Australia | 5 | 6% |
| Spain | 4 | 5% |
| Italy | 3 | 4% |
| Hong Kong | 2 | 3% |
| France | 2 | 3% |
| Canada | 1 | 1% |
| Other | 4 | 5% |
| Unknown | 18 | 23% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 47 | 59% |
| Members of the public | 31 | 39% |
| Practitioners (doctors, other healthcare professionals) | 1 | 1% |
| Science communicators (journalists, bloggers, editors) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 206 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 206 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 45 | 22% |
| Student > Ph. D. Student | 33 | 16% |
| Student > Master | 20 | 10% |
| Student > Bachelor | 20 | 10% |
| Student > Doctoral Student | 10 | 5% |
| Other | 24 | 12% |
| Unknown | 54 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 60 | 29% |
| Agricultural and Biological Sciences | 29 | 14% |
| Computer Science | 13 | 6% |
| Immunology and Microbiology | 10 | 5% |
| Neuroscience | 10 | 5% |
| Other | 21 | 10% |
| Unknown | 63 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 49. 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 09 November 2020.
All research outputs
#869,294
of 25,655,374 outputs
Outputs from Genome Biology
#579
of 4,498 outputs
Outputs of similar age
#21,014
of 480,473 outputs
Outputs of similar age from Genome Biology
#27
of 95 outputs
Altmetric has tracked 25,655,374 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,498 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 done well, scoring higher than 87% 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 480,473 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 95% of its contemporaries.
We're also able to compare this research output to 95 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.