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X Demographics
Mendeley readers
Attention Score in Context
| Title |
scBFA: modeling detection patterns to mitigate technical noise in large-scale single-cell genomics data
|
|---|---|
| Published in |
Genome Biology, September 2019
|
| DOI | 10.1186/s13059-019-1806-0 |
| Pubmed ID | |
| Authors |
Ruoxin Li, Gerald Quon |
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% |
| Australia | 2 | 9% |
| Austria | 2 | 9% |
| Hong Kong | 1 | 4% |
| United Kingdom | 1 | 4% |
| Italy | 1 | 4% |
| Unknown | 6 | 26% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 13 | 57% |
| Members of the public | 9 | 39% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 59 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 22% |
| Student > Bachelor | 10 | 17% |
| Researcher | 5 | 8% |
| Student > Master | 5 | 8% |
| Professor | 4 | 7% |
| Other | 7 | 12% |
| Unknown | 15 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 16 | 27% |
| Computer Science | 11 | 19% |
| Agricultural and Biological Sciences | 7 | 12% |
| Medicine and Dentistry | 2 | 3% |
| Neuroscience | 2 | 3% |
| Other | 3 | 5% |
| Unknown | 18 | 31% |
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 17 January 2022.
All research outputs
#1,425,413
of 25,401,381 outputs
Outputs from Genome Biology
#1,135
of 4,470 outputs
Outputs of similar age
#29,803
of 351,760 outputs
Outputs of similar age from Genome Biology
#32
of 72 outputs
Altmetric has tracked 25,401,381 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 4,470 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 351,760 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 91% of its contemporaries.
We're also able to compare this research output to 72 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 56% of its contemporaries.