| Title |
Reproducible biomedical benchmarking in the cloud: lessons from crowd-sourced data challenges
|
|---|---|
| Published in |
Genome Biology, September 2019
|
| DOI | 10.1186/s13059-019-1794-0 |
| Pubmed ID | |
| Authors |
Kyle Ellrott, Alex Buchanan, Allison Creason, Michael Mason, Thomas Schaffter, Bruce Hoff, James Eddy, John M. Chilton, Thomas Yu, Joshua M. Stuart, Julio Saez-Rodriguez, Gustavo Stolovitzky, Paul C. Boutros, Justin Guinney |
X Demographics
The data shown below were collected from the profiles of 49 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 | 19 | 39% |
| United Kingdom | 3 | 6% |
| Canada | 2 | 4% |
| Germany | 1 | 2% |
| France | 1 | 2% |
| China | 1 | 2% |
| Netherlands | 1 | 2% |
| Venezuela, Bolivarian Republic of | 1 | 2% |
| Spain | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 17 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 25 | 51% |
| Scientists | 20 | 41% |
| Science communicators (journalists, bloggers, editors) | 3 | 6% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 21% |
| Other | 5 | 15% |
| Student > Ph. D. Student | 5 | 15% |
| Student > Doctoral Student | 2 | 6% |
| Professor > Associate Professor | 2 | 6% |
| Other | 4 | 12% |
| Unknown | 8 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 24% |
| Agricultural and Biological Sciences | 5 | 15% |
| Engineering | 3 | 9% |
| Computer Science | 2 | 6% |
| Business, Management and Accounting | 1 | 3% |
| Other | 4 | 12% |
| Unknown | 10 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 37. 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 September 2023.
All research outputs
#1,098,928
of 25,391,701 outputs
Outputs from Genome Biology
#801
of 4,470 outputs
Outputs of similar age
#23,256
of 351,601 outputs
Outputs of similar age from Genome Biology
#22
of 72 outputs
Altmetric has tracked 25,391,701 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 4,470 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 well, scoring higher than 82% 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 351,601 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 93% of its contemporaries.
We're also able to compare this research output to 72 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 70% of its contemporaries.