| Title |
Comparative analysis of differential gene expression analysis tools for single-cell RNA sequencing data
|
|---|---|
| Published in |
BMC Bioinformatics, January 2019
|
| DOI | 10.1186/s12859-019-2599-6 |
| Pubmed ID | |
| Authors |
Tianyu Wang, Boyang Li, Craig E. Nelson, Sheida Nabavi |
X Demographics
The data shown below were collected from the profiles of 39 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 | 14 | 36% |
| United Kingdom | 5 | 13% |
| Australia | 1 | 3% |
| Canada | 1 | 3% |
| Pakistan | 1 | 3% |
| Venezuela, Bolivarian Republic of | 1 | 3% |
| Singapore | 1 | 3% |
| Sweden | 1 | 3% |
| France | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 13 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 23 | 59% |
| Members of the public | 16 | 41% |
Mendeley readers
The data shown below were compiled from readership statistics for 624 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 624 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 138 | 22% |
| Researcher | 101 | 16% |
| Student > Master | 76 | 12% |
| Student > Bachelor | 69 | 11% |
| Student > Postgraduate | 27 | 4% |
| Other | 66 | 11% |
| Unknown | 147 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 188 | 30% |
| Agricultural and Biological Sciences | 93 | 15% |
| Computer Science | 40 | 6% |
| Neuroscience | 33 | 5% |
| Medicine and Dentistry | 28 | 4% |
| Other | 76 | 12% |
| Unknown | 166 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 37. 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 July 2023.
All research outputs
#1,028,425
of 24,129,125 outputs
Outputs from BMC Bioinformatics
#94
of 7,504 outputs
Outputs of similar age
#25,382
of 445,003 outputs
Outputs of similar age from BMC Bioinformatics
#2
of 192 outputs
Altmetric has tracked 24,129,125 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,504 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 98% 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 445,003 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 94% of its contemporaries.
We're also able to compare this research output to 192 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 99% of its contemporaries.