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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Differential expression analysis using a model-based gene clustering algorithm for RNA-seq data
|
|---|---|
| Published in |
BMC Bioinformatics, October 2021
|
| DOI | 10.1186/s12859-021-04438-4 |
| Pubmed ID | |
| Authors |
Takayuki Osabe, Kentaro Shimizu, Koji Kadota |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 20% |
| Sweden | 1 | 20% |
| United Kingdom | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 60% |
| Members of the public | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 15% |
| Researcher | 4 | 12% |
| Student > Bachelor | 3 | 9% |
| Student > Ph. D. Student | 3 | 9% |
| Professor | 2 | 6% |
| Other | 4 | 12% |
| Unknown | 13 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 24% |
| Agricultural and Biological Sciences | 3 | 9% |
| Unspecified | 2 | 6% |
| Computer Science | 2 | 6% |
| Medicine and Dentistry | 2 | 6% |
| Other | 4 | 12% |
| Unknown | 13 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 19 July 2022.
All research outputs
#15,549,917
of 25,097,836 outputs
Outputs from BMC Bioinformatics
#4,720
of 7,651 outputs
Outputs of similar age
#216,659
of 434,499 outputs
Outputs of similar age from BMC Bioinformatics
#130
of 172 outputs
Altmetric has tracked 25,097,836 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,651 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 35th percentile – i.e., 35% of its peers scored the same or lower than it.
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 434,499 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 172 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.