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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
scPred: accurate supervised method for cell-type classification from single-cell RNA-seq data
|
|---|---|
| Published in |
Genome Biology, December 2019
|
| DOI | 10.1186/s13059-019-1862-5 |
| Pubmed ID | |
| Authors |
Jose Alquicira-Hernandez, Anuja Sathe, Hanlee P. Ji, Quan Nguyen, Joseph E. Powell |
Twitter Demographics
The data shown below were collected from the profiles of 73 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 | 22 | 30% |
| Australia | 13 | 18% |
| Canada | 4 | 5% |
| United Kingdom | 3 | 4% |
| Austria | 2 | 3% |
| Netherlands | 1 | 1% |
| China | 1 | 1% |
| Montenegro | 1 | 1% |
| Italy | 1 | 1% |
| Other | 2 | 3% |
| Unknown | 23 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 39 | 53% |
| Members of the public | 31 | 42% |
| Science communicators (journalists, bloggers, editors) | 2 | 3% |
| Practitioners (doctors, other healthcare professionals) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 276 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 276 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 56 | 20% |
| Researcher | 51 | 18% |
| Student > Master | 23 | 8% |
| Student > Bachelor | 20 | 7% |
| Other | 11 | 4% |
| Other | 29 | 11% |
| Unknown | 86 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 77 | 28% |
| Agricultural and Biological Sciences | 28 | 10% |
| Computer Science | 21 | 8% |
| Immunology and Microbiology | 11 | 4% |
| Medicine and Dentistry | 10 | 4% |
| Other | 29 | 11% |
| Unknown | 100 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 130. 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 08 April 2022.
All research outputs
#294,949
of 24,003,070 outputs
Outputs from Genome Biology
#131
of 4,279 outputs
Outputs of similar age
#7,313
of 465,677 outputs
Outputs of similar age from Genome Biology
#6
of 96 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 98th percentile: it's in the top 5% 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 done particularly well, scoring higher than 96% 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 465,677 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 98% of its contemporaries.
We're also able to compare this research output to 96 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.