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X Demographics
Mendeley readers
Attention Score in Context
| Title |
scAI: an unsupervised approach for the integrative analysis of parallel single-cell transcriptomic and epigenomic profiles
|
|---|---|
| Published in |
Genome Biology, February 2020
|
| DOI | 10.1186/s13059-020-1932-8 |
| Pubmed ID | |
| Authors |
Suoqin Jin, Lihua Zhang, Qing Nie |
X Demographics
The data shown below were collected from the profiles of 23 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 | 10 | 43% |
| United Kingdom | 2 | 9% |
| Australia | 1 | 4% |
| Netherlands | 1 | 4% |
| Italy | 1 | 4% |
| Japan | 1 | 4% |
| Unknown | 7 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 13 | 57% |
| Members of the public | 8 | 35% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 139 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 38 | 27% |
| Researcher | 18 | 13% |
| Student > Doctoral Student | 6 | 4% |
| Student > Bachelor | 6 | 4% |
| Student > Master | 6 | 4% |
| Other | 15 | 11% |
| Unknown | 50 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 26 | 19% |
| Computer Science | 23 | 17% |
| Agricultural and Biological Sciences | 16 | 12% |
| Mathematics | 7 | 5% |
| Engineering | 7 | 5% |
| Other | 9 | 6% |
| Unknown | 51 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 January 2021.
All research outputs
#2,029,618
of 25,882,826 outputs
Outputs from Genome Biology
#1,698
of 4,529 outputs
Outputs of similar age
#49,179
of 476,027 outputs
Outputs of similar age from Genome Biology
#48
of 76 outputs
Altmetric has tracked 25,882,826 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,529 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.9. This one has gotten more attention than average, scoring higher than 62% 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 476,027 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 76 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.