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X Demographics
Mendeley readers
Attention Score in Context
Title |
SHAMAN: a user-friendly website for metataxonomic analysis from raw reads to statistical analysis
|
---|---|
Published in |
BMC Bioinformatics, August 2020
|
DOI | 10.1186/s12859-020-03666-4 |
Pubmed ID | |
Authors |
Stevenn Volant, Pierre Lechat, Perrine Woringer, Laurence Motreff, Pascal Campagne, Christophe Malabat, Sean Kennedy, Amine Ghozlane |
X Demographics
The data shown below were collected from the profiles of 21 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 5 | 24% |
United Kingdom | 3 | 14% |
Netherlands | 2 | 10% |
Germany | 1 | 5% |
Finland | 1 | 5% |
India | 1 | 5% |
Philippines | 1 | 5% |
Unknown | 7 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 12 | 57% |
Scientists | 9 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 59 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 15 | 25% |
Student > Master | 8 | 14% |
Student > Bachelor | 6 | 10% |
Student > Ph. D. Student | 6 | 10% |
Other | 5 | 8% |
Other | 7 | 12% |
Unknown | 12 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 13 | 22% |
Biochemistry, Genetics and Molecular Biology | 12 | 20% |
Immunology and Microbiology | 4 | 7% |
Medicine and Dentistry | 3 | 5% |
Veterinary Science and Veterinary Medicine | 2 | 3% |
Other | 7 | 12% |
Unknown | 18 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 01 October 2020.
All research outputs
#1,840,143
of 23,577,761 outputs
Outputs from BMC Bioinformatics
#426
of 7,418 outputs
Outputs of similar age
#50,995
of 400,196 outputs
Outputs of similar age from BMC Bioinformatics
#7
of 144 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% 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 particularly well, scoring higher than 94% 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 400,196 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 87% of its contemporaries.
We're also able to compare this research output to 144 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.