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X Demographics
Mendeley readers
Attention Score in Context
Title |
SEQprocess: a modularized and customizable pipeline framework for NGS processing in R package
|
---|---|
Published in |
BMC Bioinformatics, February 2019
|
DOI | 10.1186/s12859-019-2676-x |
Pubmed ID | |
Authors |
Taewoon Joo, Ji-Hye Choi, Ji-Hye Lee, So Eun Park, Youngsic Jeon, Sae Hoon Jung, Hyun Goo Woo |
X Demographics
The data shown below were collected from the profiles of 25 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 Kingdom | 7 | 28% |
United States | 5 | 20% |
Spain | 1 | 4% |
Australia | 1 | 4% |
Brazil | 1 | 4% |
Venezuela, Bolivarian Republic of | 1 | 4% |
Canada | 1 | 4% |
Saudi Arabia | 1 | 4% |
Unknown | 7 | 28% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 16 | 64% |
Members of the public | 7 | 28% |
Science communicators (journalists, bloggers, editors) | 1 | 4% |
Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 56 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 16 | 29% |
Researcher | 12 | 21% |
Other | 4 | 7% |
Student > Master | 4 | 7% |
Professor | 2 | 4% |
Other | 4 | 7% |
Unknown | 14 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 15 | 27% |
Agricultural and Biological Sciences | 15 | 27% |
Medicine and Dentistry | 3 | 5% |
Environmental Science | 2 | 4% |
Computer Science | 2 | 4% |
Other | 5 | 9% |
Unknown | 14 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 March 2019.
All research outputs
#2,765,489
of 25,601,426 outputs
Outputs from BMC Bioinformatics
#763
of 7,725 outputs
Outputs of similar age
#60,470
of 367,603 outputs
Outputs of similar age from BMC Bioinformatics
#21
of 165 outputs
Altmetric has tracked 25,601,426 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,725 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 particularly well, scoring higher than 90% 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 367,603 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 83% of its contemporaries.
We're also able to compare this research output to 165 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.