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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Toil enables reproducible, open source, big biomedical data analyses
|
|---|---|
| Published in |
Nature Biotechnology, April 2017
|
| DOI | 10.1038/nbt.3772 |
| Pubmed ID | |
| Authors |
John Vivian, Arjun Arkal Rao, Frank Austin Nothaft, Christopher Ketchum, Joel Armstrong, Adam Novak, Jacob Pfeil, Jake Narkizian, Alden D Deran, Audrey Musselman-Brown, Hannes Schmidt, Peter Amstutz, Brian Craft, Mary Goldman, Kate Rosenbloom, Melissa Cline, Brian O'Connor, Megan Hanna, Chet Birger, W James Kent, David A Patterson, Anthony D Joseph, Jingchun Zhu, Sasha Zaranek, Gad Getz, David Haussler, Benedict Paten |
X Demographics
The data shown below were collected from the profiles of 51 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 | 23 | 45% |
| Spain | 3 | 6% |
| India | 2 | 4% |
| Australia | 2 | 4% |
| United Kingdom | 1 | 2% |
| Colombia | 1 | 2% |
| Canada | 1 | 2% |
| Singapore | 1 | 2% |
| China | 1 | 2% |
| Other | 4 | 8% |
| Unknown | 12 | 24% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 27 | 53% |
| Scientists | 23 | 45% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 330 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | <1% |
| Netherlands | 1 | <1% |
| Germany | 1 | <1% |
| Unknown | 325 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 71 | 22% |
| Student > Ph. D. Student | 61 | 18% |
| Student > Bachelor | 30 | 9% |
| Student > Master | 30 | 9% |
| Other | 15 | 5% |
| Other | 46 | 14% |
| Unknown | 77 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 92 | 28% |
| Agricultural and Biological Sciences | 71 | 22% |
| Computer Science | 25 | 8% |
| Medicine and Dentistry | 16 | 5% |
| Engineering | 9 | 3% |
| Other | 27 | 8% |
| Unknown | 90 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 61. 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 31 January 2024.
All research outputs
#707,143
of 25,728,350 outputs
Outputs from Nature Biotechnology
#1,437
of 8,602 outputs
Outputs of similar age
#14,504
of 325,548 outputs
Outputs of similar age from Nature Biotechnology
#29
of 99 outputs
Altmetric has tracked 25,728,350 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,602 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.5. This one has done well, scoring higher than 83% 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 325,548 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 99 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.