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X Demographics
Mendeley readers
Attention Score in Context
| Title |
TCC-GUI: a Shiny-based application for differential expression analysis of RNA-Seq count data
|
|---|---|
| Published in |
BMC Research Notes, March 2019
|
| DOI | 10.1186/s13104-019-4179-2 |
| Pubmed ID | |
| Authors |
Wei Su, Jianqiang Sun, Kentaro Shimizu, Koji Kadota |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 88 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 17% |
| Student > Ph. D. Student | 12 | 14% |
| Student > Master | 11 | 13% |
| Student > Bachelor | 11 | 13% |
| Student > Doctoral Student | 7 | 8% |
| Other | 8 | 9% |
| Unknown | 24 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 21 | 24% |
| Agricultural and Biological Sciences | 19 | 22% |
| Neuroscience | 5 | 6% |
| Computer Science | 4 | 5% |
| Immunology and Microbiology | 2 | 2% |
| Other | 12 | 14% |
| Unknown | 25 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 07 March 2022.
All research outputs
#4,030,966
of 24,088,850 outputs
Outputs from BMC Research Notes
#570
of 4,361 outputs
Outputs of similar age
#82,799
of 355,938 outputs
Outputs of similar age from BMC Research Notes
#11
of 85 outputs
Altmetric has tracked 24,088,850 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,361 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one has done well, scoring higher than 86% 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 355,938 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 76% of its contemporaries.
We're also able to compare this research output to 85 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.