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X Demographics
Mendeley readers
Attention Score in Context
| Title |
DOSE: an R/Bioconductor package for disease ontology semantic and enrichment analysis
|
|---|---|
| Published in |
Bioinformatics, October 2014
|
| DOI | 10.1093/bioinformatics/btu684 |
| Pubmed ID | |
| Authors |
Guangchuang Yu, Li-Gen Wang, Guang-Rong Yan, Qing-Yu He |
X Demographics
The data shown below were collected from the profiles of 20 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 | 25% |
| Canada | 2 | 10% |
| Zimbabwe | 1 | 5% |
| United Kingdom | 1 | 5% |
| Colombia | 1 | 5% |
| Germany | 1 | 5% |
| China | 1 | 5% |
| Unknown | 8 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 55% |
| Scientists | 9 | 45% |
Mendeley readers
The data shown below were compiled from readership statistics for 462 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | <1% |
| Germany | 2 | <1% |
| United Kingdom | 2 | <1% |
| Taiwan | 1 | <1% |
| Argentina | 1 | <1% |
| Brazil | 1 | <1% |
| China | 1 | <1% |
| Denmark | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 447 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 110 | 24% |
| Researcher | 77 | 17% |
| Student > Master | 52 | 11% |
| Student > Bachelor | 45 | 10% |
| Other | 16 | 3% |
| Other | 56 | 12% |
| Unknown | 106 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 124 | 27% |
| Agricultural and Biological Sciences | 82 | 18% |
| Computer Science | 34 | 7% |
| Medicine and Dentistry | 22 | 5% |
| Immunology and Microbiology | 17 | 4% |
| Other | 63 | 14% |
| Unknown | 120 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 35. 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 April 2024.
All research outputs
#1,184,032
of 25,784,004 outputs
Outputs from Bioinformatics
#371
of 12,912 outputs
Outputs of similar age
#12,849
of 272,174 outputs
Outputs of similar age from Bioinformatics
#8
of 204 outputs
Altmetric has tracked 25,784,004 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 12,912 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done particularly well, scoring higher than 97% 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 272,174 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 95% of its contemporaries.
We're also able to compare this research output to 204 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.