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X Demographics
Mendeley readers
Attention Score in Context
| Title |
ORdensity: user-friendly R package to identify differentially expressed genes
|
|---|---|
| Published in |
BMC Bioinformatics, April 2020
|
| DOI | 10.1186/s12859-020-3463-4 |
| Pubmed ID | |
| Authors |
José María Martínez-Otzeta, Itziar Irigoien, Basilio Sierra, Concepción Arenas |
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 % |
|---|---|---|
| Japan | 1 | 20% |
| Spain | 1 | 20% |
| India | 1 | 20% |
| Saudi Arabia | 1 | 20% |
| United Kingdom | 1 | 20% |
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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 31% |
| Student > Ph. D. Student | 3 | 23% |
| Student > Master | 1 | 8% |
| Unknown | 5 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 15% |
| Business, Management and Accounting | 1 | 8% |
| Agricultural and Biological Sciences | 1 | 8% |
| Computer Science | 1 | 8% |
| Immunology and Microbiology | 1 | 8% |
| Other | 2 | 15% |
| Unknown | 5 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 June 2020.
All research outputs
#13,539,941
of 23,577,761 outputs
Outputs from BMC Bioinformatics
#4,056
of 7,418 outputs
Outputs of similar age
#179,840
of 374,654 outputs
Outputs of similar age from BMC Bioinformatics
#50
of 113 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,418 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 44th percentile – i.e., 44% 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 374,654 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 113 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.