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X Demographics
Mendeley readers
Attention Score in Context
| Title |
DeepVelo: deep learning extends RNA velocity to multi-lineage systems with cell-specific kinetics
|
|---|---|
| Published in |
Genome Biology, January 2024
|
| DOI | 10.1186/s13059-023-03148-9 |
| Pubmed ID | |
| Authors |
Haotian Cui, Hassaan Maan, Maria C. Vladoiu, Jiao Zhang, Michael D. Taylor, Bo Wang |
X Demographics
The data shown below were collected from the profiles of 59 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 | 11 | 19% |
| Canada | 8 | 14% |
| Netherlands | 3 | 5% |
| United Kingdom | 3 | 5% |
| Korea, Republic of | 2 | 3% |
| Germany | 2 | 3% |
| India | 1 | 2% |
| Japan | 1 | 2% |
| Austria | 1 | 2% |
| Other | 4 | 7% |
| Unknown | 23 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 31 | 53% |
| Scientists | 27 | 46% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 22% |
| Researcher | 6 | 16% |
| Student > Master | 3 | 8% |
| Student > Doctoral Student | 2 | 5% |
| Professor | 2 | 5% |
| Other | 4 | 11% |
| Unknown | 12 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 13 | 35% |
| Agricultural and Biological Sciences | 4 | 11% |
| Computer Science | 4 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Immunology and Microbiology | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 12 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 27. 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 06 February 2024.
All research outputs
#1,452,385
of 25,856,138 outputs
Outputs from Genome Biology
#1,141
of 4,525 outputs
Outputs of similar age
#22,417
of 355,613 outputs
Outputs of similar age from Genome Biology
#10
of 73 outputs
Altmetric has tracked 25,856,138 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,525 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 gotten more attention than average, scoring higher than 74% 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 355,613 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 73 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.