| Title |
CLEAR: coverage-based limiting-cell experiment analysis for RNA-seq
|
|---|---|
| Published in |
Journal of Translational Medicine, February 2020
|
| DOI | 10.1186/s12967-020-02247-6 |
| Pubmed ID | |
| Authors |
Logan A. Walker, Michael G. Sovic, Chi-Ling Chiang, Eileen Hu, Jiyeon K. Denninger, Xi Chen, Elizabeth D. Kirby, John C. Byrd, Natarajan Muthusamy, Ralf Bundschuh, Pearlly Yan |
X Demographics
The data shown below were collected from the profiles of 7 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 | 2 | 29% |
| Unknown | 5 | 71% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 14% |
| Researcher | 3 | 14% |
| Student > Ph. D. Student | 3 | 14% |
| Other | 1 | 5% |
| Student > Doctoral Student | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 8 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 24% |
| Neuroscience | 2 | 10% |
| Agricultural and Biological Sciences | 1 | 5% |
| Physics and Astronomy | 1 | 5% |
| Computer Science | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 9 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 09 December 2021.
All research outputs
#2,980,220
of 25,220,525 outputs
Outputs from Journal of Translational Medicine
#513
of 4,592 outputs
Outputs of similar age
#68,795
of 469,938 outputs
Outputs of similar age from Journal of Translational Medicine
#11
of 79 outputs
Altmetric has tracked 25,220,525 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,592 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has done well, scoring higher than 88% 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 469,938 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 85% of its contemporaries.
We're also able to compare this research output to 79 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.