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X Demographics
Mendeley readers
Attention Score in Context
| Title |
RESCUE: imputing dropout events in single-cell RNA-sequencing data
|
|---|---|
| Published in |
BMC Bioinformatics, July 2019
|
| DOI | 10.1186/s12859-019-2977-0 |
| Pubmed ID | |
| Authors |
Sam Tracy, Guo-Cheng Yuan, Ruben Dries |
X Demographics
The data shown below were collected from the profiles of 19 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 | 7 | 37% |
| United Kingdom | 3 | 16% |
| France | 1 | 5% |
| Unknown | 8 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 11 | 58% |
| Members of the public | 8 | 42% |
Mendeley readers
The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 94 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 24% |
| Researcher | 20 | 21% |
| Student > Master | 11 | 12% |
| Student > Bachelor | 7 | 7% |
| Student > Doctoral Student | 4 | 4% |
| Other | 11 | 12% |
| Unknown | 18 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 29 | 31% |
| Computer Science | 11 | 12% |
| Agricultural and Biological Sciences | 7 | 7% |
| Neuroscience | 6 | 6% |
| Medicine and Dentistry | 4 | 4% |
| Other | 13 | 14% |
| Unknown | 24 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 20 July 2020.
All research outputs
#1,663,641
of 25,163,238 outputs
Outputs from BMC Bioinformatics
#286
of 7,657 outputs
Outputs of similar age
#34,731
of 352,923 outputs
Outputs of similar age from BMC Bioinformatics
#6
of 161 outputs
Altmetric has tracked 25,163,238 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,657 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. 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 352,923 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 90% of its contemporaries.
We're also able to compare this research output to 161 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 96% of its contemporaries.