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X Demographics
Mendeley readers
Attention Score in Context
| Title |
pipeComp, a general framework for the evaluation of computational pipelines, reveals performant single cell RNA-seq preprocessing tools
|
|---|---|
| Published in |
Genome Biology, September 2020
|
| DOI | 10.1186/s13059-020-02136-7 |
| Pubmed ID | |
| Authors |
Pierre-Luc Germain, Anthony Sonrel, Mark D. Robinson |
X Demographics
The data shown below were collected from the profiles of 32 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 | 9 | 28% |
| France | 6 | 19% |
| United Kingdom | 2 | 6% |
| Switzerland | 2 | 6% |
| Germany | 1 | 3% |
| Italy | 1 | 3% |
| Pakistan | 1 | 3% |
| China | 1 | 3% |
| Sweden | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 6 | 19% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 21 | 66% |
| Members of the public | 10 | 31% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 171 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 171 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 41 | 24% |
| Researcher | 32 | 19% |
| Student > Bachelor | 14 | 8% |
| Student > Master | 10 | 6% |
| Other | 8 | 5% |
| Other | 17 | 10% |
| Unknown | 49 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 49 | 29% |
| Agricultural and Biological Sciences | 28 | 16% |
| Immunology and Microbiology | 8 | 5% |
| Medicine and Dentistry | 6 | 4% |
| Computer Science | 5 | 3% |
| Other | 21 | 12% |
| Unknown | 54 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 30. 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 12 July 2023.
All research outputs
#1,319,420
of 25,837,817 outputs
Outputs from Genome Biology
#1,006
of 4,506 outputs
Outputs of similar age
#36,250
of 427,014 outputs
Outputs of similar age from Genome Biology
#36
of 93 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,506 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 77% 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 427,014 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 91% of its contemporaries.
We're also able to compare this research output to 93 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 61% of its contemporaries.