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X Demographics
Mendeley readers
Attention Score in Context
| Title |
doepipeline: a systematic approach to optimizing multi-level and multi-step data processing workflows
|
|---|---|
| Published in |
BMC Bioinformatics, October 2019
|
| DOI | 10.1186/s12859-019-3091-z |
| Pubmed ID | |
| Authors |
Daniel Svensson, Rickard Sjögren, David Sundell, Andreas Sjödin, Johan Trygg |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 3 | 33% |
| United States | 1 | 11% |
| India | 1 | 11% |
| United Kingdom | 1 | 11% |
| Unknown | 3 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 67% |
| Members of the public | 3 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 33% |
| Student > Ph. D. Student | 8 | 19% |
| Other | 3 | 7% |
| Student > Postgraduate | 3 | 7% |
| Student > Master | 3 | 7% |
| Other | 7 | 16% |
| Unknown | 5 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 12 | 28% |
| Agricultural and Biological Sciences | 11 | 26% |
| Computer Science | 5 | 12% |
| Medicine and Dentistry | 3 | 7% |
| Physics and Astronomy | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 8 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 October 2019.
All research outputs
#2,871,930
of 23,577,761 outputs
Outputs from BMC Bioinformatics
#924
of 7,418 outputs
Outputs of similar age
#60,889
of 355,821 outputs
Outputs of similar age from BMC Bioinformatics
#27
of 135 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,418 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 87% 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 355,821 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 82% of its contemporaries.
We're also able to compare this research output to 135 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.