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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Natrix: a Snakemake-based workflow for processing, clustering, and taxonomically assigning amplicon sequencing reads
|
|---|---|
| Published in |
BMC Bioinformatics, November 2020
|
| DOI | 10.1186/s12859-020-03852-4 |
| Pubmed ID | |
| Authors |
Marius Welzel, Anja Lange, Dominik Heider, Michael Schwarz, Bernd Freisleben, Manfred Jensen, Jens Boenigk, Daniela Beisser |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 27% |
| United Kingdom | 2 | 18% |
| India | 1 | 9% |
| Sweden | 1 | 9% |
| Belgium | 1 | 9% |
| Unknown | 3 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 55% |
| Members of the public | 4 | 36% |
| Practitioners (doctors, other healthcare professionals) | 1 | 9% |
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 % |
|---|---|---|
| Student > Ph. D. Student | 8 | 19% |
| Researcher | 8 | 19% |
| Student > Master | 5 | 12% |
| Other | 2 | 5% |
| Professor | 2 | 5% |
| Other | 9 | 21% |
| Unknown | 9 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 14% |
| Agricultural and Biological Sciences | 5 | 12% |
| Environmental Science | 5 | 12% |
| Computer Science | 5 | 12% |
| Engineering | 4 | 9% |
| Other | 6 | 14% |
| Unknown | 12 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 30 November 2020.
All research outputs
#4,660,671
of 23,577,761 outputs
Outputs from BMC Bioinformatics
#1,711
of 7,418 outputs
Outputs of similar age
#99,858
of 379,933 outputs
Outputs of similar age from BMC Bioinformatics
#49
of 167 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 80th 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 76% 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 379,933 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 167 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.