| Title |
SCOPIT: sample size calculations for single-cell sequencing experiments
|
|---|---|
| Published in |
BMC Bioinformatics, November 2019
|
| DOI | 10.1186/s12859-019-3167-9 |
| Pubmed ID | |
| Authors |
Alexander Davis, Ruli Gao, Nicholas E. Navin |
X Demographics
The data shown below were collected from the profiles of 41 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 | 15 | 37% |
| United Kingdom | 7 | 17% |
| India | 2 | 5% |
| Georgia | 2 | 5% |
| France | 1 | 2% |
| Austria | 1 | 2% |
| Australia | 1 | 2% |
| Turkey | 1 | 2% |
| Canada | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 9 | 22% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 29 | 71% |
| Members of the public | 11 | 27% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 143 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 33 | 23% |
| Student > Ph. D. Student | 24 | 17% |
| Student > Bachelor | 11 | 8% |
| Professor > Associate Professor | 9 | 6% |
| Student > Master | 9 | 6% |
| Other | 25 | 17% |
| Unknown | 32 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 29 | 20% |
| Medicine and Dentistry | 27 | 19% |
| Immunology and Microbiology | 11 | 8% |
| Agricultural and Biological Sciences | 10 | 7% |
| Neuroscience | 9 | 6% |
| Other | 19 | 13% |
| Unknown | 38 | 27% |
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 08 September 2021.
All research outputs
#1,755,813
of 25,714,183 outputs
Outputs from BMC Bioinformatics
#307
of 7,735 outputs
Outputs of similar age
#36,870
of 376,145 outputs
Outputs of similar age from BMC Bioinformatics
#10
of 214 outputs
Altmetric has tracked 25,714,183 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 7,735 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. 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 376,145 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 214 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 95% of its contemporaries.