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CDKAM: a taxonomic classification tool using discriminative k-mers and approximate matching strategies

Overview of attention for article published in BMC Bioinformatics, October 2020
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
6 tweeters

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
16 Mendeley
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Title
CDKAM: a taxonomic classification tool using discriminative k-mers and approximate matching strategies
Published in
BMC Bioinformatics, October 2020
DOI 10.1186/s12859-020-03777-y
Authors

Van-Kien Bui, Chaochun Wei

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 25%
Student > Master 3 19%
Student > Ph. D. Student 2 13%
Student > Doctoral Student 1 6%
Student > Bachelor 1 6%
Other 0 0%
Unknown 5 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 13%
Mathematics 2 13%
Agricultural and Biological Sciences 2 13%
Nursing and Health Professions 1 6%
Computer Science 1 6%
Other 1 6%
Unknown 7 44%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 02 August 2021.
All research outputs
#13,278,135
of 21,712,946 outputs
Outputs from BMC Bioinformatics
#4,316
of 7,013 outputs
Outputs of similar age
#214,275
of 397,289 outputs
Outputs of similar age from BMC Bioinformatics
#295
of 484 outputs
Altmetric has tracked 21,712,946 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,013 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 35th percentile – i.e., 35% 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 397,289 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 484 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.