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optimalFlow: optimal transport approach to flow cytometry gating and population matching

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

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
5 tweeters

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
17 Mendeley
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Title
optimalFlow: optimal transport approach to flow cytometry gating and population matching
Published in
BMC Bioinformatics, October 2020
DOI 10.1186/s12859-020-03795-w
Authors

Eustasio del Barrio, Hristo Inouzhe, Jean-Michel Loubes, Carlos Matrán, Agustín Mayo-Íscar

Twitter Demographics

The data shown below were collected from the profiles of 5 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 18%
Student > Doctoral Student 2 12%
Professor 2 12%
Other 1 6%
Student > Bachelor 1 6%
Other 3 18%
Unknown 5 29%
Readers by discipline Count As %
Mathematics 4 24%
Computer Science 3 18%
Medicine and Dentistry 2 12%
Biochemistry, Genetics and Molecular Biology 1 6%
Agricultural and Biological Sciences 1 6%
Other 1 6%
Unknown 5 29%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 November 2020.
All research outputs
#10,969,290
of 19,368,131 outputs
Outputs from BMC Bioinformatics
#3,578
of 6,592 outputs
Outputs of similar age
#186,303
of 390,634 outputs
Outputs of similar age from BMC Bioinformatics
#259
of 485 outputs
Altmetric has tracked 19,368,131 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,592 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 43rd percentile – i.e., 43% 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 390,634 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 51% of its contemporaries.
We're also able to compare this research output to 485 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.