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A robustness metric for biological data clustering algorithms

Overview of attention for article published in BMC Bioinformatics, December 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

blogs
1 blog
twitter
4 tweeters

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
25 Mendeley
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Title
A robustness metric for biological data clustering algorithms
Published in
BMC Bioinformatics, December 2019
DOI 10.1186/s12859-019-3089-6
Pubmed ID
Authors

Yuping Lu, Charles A. Phillips, Michael A. Langston

Twitter Demographics

The data shown below were collected from the profiles of 4 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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 36%
Researcher 5 20%
Student > Master 3 12%
Student > Doctoral Student 1 4%
Professor 1 4%
Other 1 4%
Unknown 5 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 20%
Biochemistry, Genetics and Molecular Biology 3 12%
Pharmacology, Toxicology and Pharmaceutical Science 2 8%
Computer Science 2 8%
Mathematics 2 8%
Other 5 20%
Unknown 6 24%

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 12 March 2021.
All research outputs
#2,808,256
of 17,932,315 outputs
Outputs from BMC Bioinformatics
#1,090
of 6,319 outputs
Outputs of similar age
#83,556
of 397,786 outputs
Outputs of similar age from BMC Bioinformatics
#133
of 576 outputs
Altmetric has tracked 17,932,315 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 6,319 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. 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 397,786 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 78% of its contemporaries.
We're also able to compare this research output to 576 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.