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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A practical guide to methods controlling false discoveries in computational biology
|
|---|---|
| Published in |
Genome Biology, June 2019
|
| DOI | 10.1186/s13059-019-1716-1 |
| Pubmed ID | |
| Authors |
Keegan Korthauer, Patrick K. Kimes, Claire Duvallet, Alejandro Reyes, Ayshwarya Subramanian, Mingxiang Teng, Chinmay Shukla, Eric J. Alm, Stephanie C. Hicks |
X Demographics
The data shown below were collected from the profiles of 293 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 | 90 | 31% |
| Germany | 14 | 5% |
| France | 12 | 4% |
| Australia | 12 | 4% |
| Canada | 10 | 3% |
| United Kingdom | 10 | 3% |
| Spain | 4 | 1% |
| India | 4 | 1% |
| Switzerland | 4 | 1% |
| Other | 35 | 12% |
| Unknown | 98 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 173 | 59% |
| Members of the public | 108 | 37% |
| Practitioners (doctors, other healthcare professionals) | 8 | 3% |
| Science communicators (journalists, bloggers, editors) | 4 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 580 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 580 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 148 | 26% |
| Researcher | 118 | 20% |
| Student > Master | 62 | 11% |
| Student > Doctoral Student | 37 | 6% |
| Student > Bachelor | 33 | 6% |
| Other | 78 | 13% |
| Unknown | 104 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 172 | 30% |
| Agricultural and Biological Sciences | 116 | 20% |
| Computer Science | 31 | 5% |
| Medicine and Dentistry | 29 | 5% |
| Neuroscience | 19 | 3% |
| Other | 83 | 14% |
| Unknown | 130 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 158. 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 02 August 2023.
All research outputs
#262,863
of 25,655,374 outputs
Outputs from Genome Biology
#93
of 4,498 outputs
Outputs of similar age
#5,299
of 367,615 outputs
Outputs of similar age from Genome Biology
#4
of 65 outputs
Altmetric has tracked 25,655,374 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,498 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. 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 367,615 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 98% of its contemporaries.
We're also able to compare this research output to 65 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 93% of its contemporaries.