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X Demographics
Mendeley readers
Attention Score in Context
| Title |
iDEP: an integrated web application for differential expression and pathway analysis of RNA-Seq data
|
|---|---|
| Published in |
BMC Bioinformatics, December 2018
|
| DOI | 10.1186/s12859-018-2486-6 |
| Pubmed ID | |
| Authors |
Steven Xijin Ge, Eun Wo Son, Runan Yao |
X Demographics
The data shown below were collected from the profiles of 30 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 | 5 | 17% |
| United Kingdom | 4 | 13% |
| Cyprus | 1 | 3% |
| Mexico | 1 | 3% |
| China | 1 | 3% |
| Brazil | 1 | 3% |
| India | 1 | 3% |
| Hong Kong | 1 | 3% |
| France | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 11 | 37% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 20 | 67% |
| Members of the public | 10 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 755 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 755 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 133 | 18% |
| Researcher | 109 | 14% |
| Student > Master | 93 | 12% |
| Student > Bachelor | 61 | 8% |
| Student > Doctoral Student | 55 | 7% |
| Other | 83 | 11% |
| Unknown | 221 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 210 | 28% |
| Agricultural and Biological Sciences | 116 | 15% |
| Medicine and Dentistry | 49 | 6% |
| Immunology and Microbiology | 31 | 4% |
| Computer Science | 22 | 3% |
| Other | 83 | 11% |
| Unknown | 244 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 31. 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 25 October 2023.
All research outputs
#1,283,893
of 25,736,439 outputs
Outputs from BMC Bioinformatics
#131
of 7,739 outputs
Outputs of similar age
#28,656
of 446,387 outputs
Outputs of similar age from BMC Bioinformatics
#4
of 189 outputs
Altmetric has tracked 25,736,439 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 7,739 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 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 446,387 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 93% of its contemporaries.
We're also able to compare this research output to 189 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 97% of its contemporaries.