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flowDiv: a new pipeline for analyzing flow cytometric diversity

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

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

twitter
16 X users

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
49 Mendeley
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Title
flowDiv: a new pipeline for analyzing flow cytometric diversity
Published in
BMC Bioinformatics, May 2019
DOI 10.1186/s12859-019-2787-4
Pubmed ID
Authors

Bruno M. S. Wanderley, Daniel S. A. Araújo, María V. Quiroga, André M. Amado, Adrião D. D. Neto, Hugo Sarmento, Sebastián D. Metz, Fernando Unrein

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 31%
Student > Doctoral Student 5 10%
Professor > Associate Professor 5 10%
Student > Ph. D. Student 5 10%
Professor 4 8%
Other 8 16%
Unknown 7 14%
Readers by discipline Count As %
Environmental Science 13 27%
Agricultural and Biological Sciences 9 18%
Biochemistry, Genetics and Molecular Biology 3 6%
Immunology and Microbiology 3 6%
Medicine and Dentistry 2 4%
Other 8 16%
Unknown 11 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 05 July 2021.
All research outputs
#2,840,245
of 23,149,216 outputs
Outputs from BMC Bioinformatics
#946
of 7,339 outputs
Outputs of similar age
#61,344
of 350,248 outputs
Outputs of similar age from BMC Bioinformatics
#37
of 205 outputs
Altmetric has tracked 23,149,216 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,339 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 87% 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 350,248 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 82% of its contemporaries.
We're also able to compare this research output to 205 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.