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X Demographics
Mendeley readers
Attention Score in Context
Title |
Comparative analysis of ChIP-exo peak-callers: impact of data quality, read duplication and binding subtypes
|
---|---|
Published in |
BMC Bioinformatics, February 2020
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DOI | 10.1186/s12859-020-3403-3 |
Pubmed ID | |
Authors |
Vasudha Sharma, Sharmistha Majumdar |
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 % |
---|---|---|
United Kingdom | 2 | 18% |
United States | 2 | 18% |
Germany | 1 | 9% |
Canada | 1 | 9% |
India | 1 | 9% |
Bolivia, Plurinational State of | 1 | 9% |
Unknown | 3 | 27% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 8 | 73% |
Members of the public | 3 | 27% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 19 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 26% |
Researcher | 4 | 21% |
Student > Bachelor | 2 | 11% |
Student > Doctoral Student | 1 | 5% |
Professor | 1 | 5% |
Other | 5 | 26% |
Unknown | 1 | 5% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 4 | 21% |
Biochemistry, Genetics and Molecular Biology | 4 | 21% |
Engineering | 2 | 11% |
Medicine and Dentistry | 2 | 11% |
Unspecified | 1 | 5% |
Other | 3 | 16% |
Unknown | 3 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 17 June 2020.
All research outputs
#5,950,387
of 24,451,065 outputs
Outputs from BMC Bioinformatics
#2,020
of 7,535 outputs
Outputs of similar age
#103,863
of 365,738 outputs
Outputs of similar age from BMC Bioinformatics
#38
of 111 outputs
Altmetric has tracked 24,451,065 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,535 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 gotten more attention than average, scoring higher than 73% 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 365,738 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 71% of its contemporaries.
We're also able to compare this research output to 111 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 66% of its contemporaries.