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HiComet: a high-throughput comet analysis tool for large-scale DNA damage assessment

Overview of attention for article published in BMC Bioinformatics, February 2018
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Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
33 Mendeley
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Title
HiComet: a high-throughput comet analysis tool for large-scale DNA damage assessment
Published in
BMC Bioinformatics, February 2018
DOI 10.1186/s12859-018-2015-7
Pubmed ID
Authors

Taehoon Lee, Sungmin Lee, Woo Young Sim, Yu Mi Jung, Sunmi Han, Joong-Ho Won, Hyeyoung Min, Sungroh Yoon

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 18%
Student > Master 5 15%
Researcher 5 15%
Student > Bachelor 5 15%
Other 3 9%
Other 5 15%
Unknown 4 12%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 21%
Computer Science 5 15%
Engineering 2 6%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Agricultural and Biological Sciences 2 6%
Other 7 21%
Unknown 8 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 06 March 2018.
All research outputs
#12,209,890
of 13,789,144 outputs
Outputs from BMC Bioinformatics
#4,742
of 5,137 outputs
Outputs of similar age
#166,143
of 200,754 outputs
Outputs of similar age from BMC Bioinformatics
#416
of 429 outputs
Altmetric has tracked 13,789,144 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,137 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 200,754 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 429 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.