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X Demographics
Mendeley readers
Attention Score in Context
| Title |
ideal: an R/Bioconductor package for interactive differential expression analysis
|
|---|---|
| Published in |
BMC Bioinformatics, December 2020
|
| DOI | 10.1186/s12859-020-03819-5 |
| Pubmed ID | |
| Authors |
Federico Marini, Jan Linke, Harald Binder |
X Demographics
The data shown below were collected from the profiles of 37 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 | 7 | 19% |
| United Kingdom | 3 | 8% |
| Poland | 1 | 3% |
| Japan | 1 | 3% |
| New Zealand | 1 | 3% |
| France | 1 | 3% |
| Thailand | 1 | 3% |
| Australia | 1 | 3% |
| India | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 18 | 49% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 21 | 57% |
| Scientists | 15 | 41% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 86 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 19% |
| Researcher | 14 | 16% |
| Student > Master | 8 | 9% |
| Student > Bachelor | 7 | 8% |
| Student > Doctoral Student | 3 | 3% |
| Other | 8 | 9% |
| Unknown | 30 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 24 | 28% |
| Agricultural and Biological Sciences | 8 | 9% |
| Computer Science | 4 | 5% |
| Immunology and Microbiology | 2 | 2% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 2% |
| Other | 10 | 12% |
| Unknown | 36 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 24 February 2021.
All research outputs
#1,798,817
of 25,163,238 outputs
Outputs from BMC Bioinformatics
#338
of 7,657 outputs
Outputs of similar age
#47,869
of 522,721 outputs
Outputs of similar age from BMC Bioinformatics
#6
of 149 outputs
Altmetric has tracked 25,163,238 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,657 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 95% 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 522,721 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 90% of its contemporaries.
We're also able to compare this research output to 149 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 96% of its contemporaries.