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X Demographics
Mendeley readers
Attention Score in Context
Title |
FastqCleaner: an interactive Bioconductor application for quality-control, filtering and trimming of FASTQ files
|
---|---|
Published in |
BMC Bioinformatics, June 2019
|
DOI | 10.1186/s12859-019-2961-8 |
Pubmed ID | |
Authors |
Leandro Gabriel Roser, Fernán Agüero, Daniel Oscar Sánchez |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 1 | 25% |
United Kingdom | 1 | 25% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 3 | 75% |
Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 75 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 18 | 24% |
Student > Master | 11 | 15% |
Student > Ph. D. Student | 9 | 12% |
Professor > Associate Professor | 4 | 5% |
Student > Bachelor | 3 | 4% |
Other | 9 | 12% |
Unknown | 21 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 20 | 27% |
Agricultural and Biological Sciences | 20 | 27% |
Medicine and Dentistry | 4 | 5% |
Computer Science | 3 | 4% |
Immunology and Microbiology | 1 | 1% |
Other | 3 | 4% |
Unknown | 24 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 07 July 2019.
All research outputs
#3,659,249
of 23,344,526 outputs
Outputs from BMC Bioinformatics
#1,298
of 7,387 outputs
Outputs of similar age
#72,827
of 351,205 outputs
Outputs of similar age from BMC Bioinformatics
#45
of 160 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,387 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 82% 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 351,205 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 79% of its contemporaries.
We're also able to compare this research output to 160 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 72% of its contemporaries.