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X Demographics
Mendeley readers
Attention Score in Context
| Title |
H3AGWAS: a portable workflow for genome wide association studies
|
|---|---|
| Published in |
BMC Bioinformatics, November 2022
|
| DOI | 10.1186/s12859-022-05034-w |
| Pubmed ID | |
| Authors |
Jean-Tristan Brandenburg, Lindsay Clark, Gerrit Botha, Sumir Panji, Shakuntala Baichoo, Christopher Fields, Scott Hazelhurst |
X Demographics
The data shown below were collected from the profiles of 22 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| South Africa | 2 | 9% |
| Canada | 2 | 9% |
| France | 1 | 5% |
| Greece | 1 | 5% |
| Spain | 1 | 5% |
| India | 1 | 5% |
| Uganda | 1 | 5% |
| Sweden | 1 | 5% |
| United Kingdom | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 11 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 55% |
| Scientists | 10 | 45% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 21% |
| Student > Doctoral Student | 3 | 13% |
| Student > Ph. D. Student | 3 | 13% |
| Student > Master | 3 | 13% |
| Lecturer > Senior Lecturer | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 8 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 29% |
| Agricultural and Biological Sciences | 2 | 8% |
| Computer Science | 2 | 8% |
| Environmental Science | 1 | 4% |
| Immunology and Microbiology | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 9 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 28 November 2022.
All research outputs
#2,598,794
of 24,666,614 outputs
Outputs from BMC Bioinformatics
#727
of 7,565 outputs
Outputs of similar age
#53,926
of 475,500 outputs
Outputs of similar age from BMC Bioinformatics
#10
of 160 outputs
Altmetric has tracked 24,666,614 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,565 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 90% 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 475,500 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 160 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 94% of its contemporaries.