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X Demographics
Mendeley readers
Attention Score in Context
| Title |
EmptyDrops: distinguishing cells from empty droplets in droplet-based single-cell RNA sequencing data
|
|---|---|
| Published in |
Genome Biology, March 2019
|
| DOI | 10.1186/s13059-019-1662-y |
| Pubmed ID | |
| Authors |
Aaron T. L. Lun, Samantha Riesenfeld, Tallulah Andrews, The Phuong Dao, Tomas Gomes, John C. Marioni |
X Demographics
The data shown below were collected from the profiles of 69 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 | 13 | 19% |
| Australia | 11 | 16% |
| United Kingdom | 8 | 12% |
| Germany | 4 | 6% |
| Japan | 2 | 3% |
| France | 2 | 3% |
| Portugal | 2 | 3% |
| Canada | 2 | 3% |
| China | 1 | 1% |
| Other | 9 | 13% |
| Unknown | 15 | 22% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 39 | 57% |
| Members of the public | 28 | 41% |
| Science communicators (journalists, bloggers, editors) | 2 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 507 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 507 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 121 | 24% |
| Researcher | 95 | 19% |
| Student > Master | 57 | 11% |
| Student > Bachelor | 50 | 10% |
| Student > Doctoral Student | 24 | 5% |
| Other | 58 | 11% |
| Unknown | 102 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 150 | 30% |
| Agricultural and Biological Sciences | 90 | 18% |
| Immunology and Microbiology | 34 | 7% |
| Medicine and Dentistry | 32 | 6% |
| Neuroscience | 24 | 5% |
| Other | 65 | 13% |
| Unknown | 112 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 46. 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 April 2023.
All research outputs
#925,076
of 25,837,817 outputs
Outputs from Genome Biology
#626
of 4,513 outputs
Outputs of similar age
#21,283
of 366,868 outputs
Outputs of similar age from Genome Biology
#20
of 60 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 96th percentile: it's in the top 5% 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 done well, scoring higher than 85% 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 366,868 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 93% of its contemporaries.
We're also able to compare this research output to 60 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 66% of its contemporaries.