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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Digitaldlsorter: Deep-Learning on scRNA-Seq to Deconvolute Gene Expression Data
|
|---|---|
| Published in |
Frontiers in Genetics, October 2019
|
| DOI | 10.3389/fgene.2019.00978 |
| Pubmed ID | |
| Authors |
Carlos Torroja, Fatima Sanchez-Cabo |
X Demographics
The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 5 | 33% |
| Canada | 1 | 7% |
| Switzerland | 1 | 7% |
| Austria | 1 | 7% |
| Unknown | 7 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 53% |
| Scientists | 6 | 40% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 131 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 25 | 19% |
| Student > Ph. D. Student | 21 | 16% |
| Student > Master | 16 | 12% |
| Student > Bachelor | 12 | 9% |
| Student > Postgraduate | 6 | 5% |
| Other | 17 | 13% |
| Unknown | 34 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 31 | 24% |
| Computer Science | 14 | 11% |
| Engineering | 12 | 9% |
| Agricultural and Biological Sciences | 9 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 4% |
| Other | 19 | 15% |
| Unknown | 41 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 45. 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 05 March 2024.
All research outputs
#952,532
of 26,067,272 outputs
Outputs from Frontiers in Genetics
#148
of 13,847 outputs
Outputs of similar age
#20,641
of 379,233 outputs
Outputs of similar age from Frontiers in Genetics
#9
of 438 outputs
Altmetric has tracked 26,067,272 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 13,847 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 98% 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 379,233 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 94% of its contemporaries.
We're also able to compare this research output to 438 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 97% of its contemporaries.