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Cell segmentation methods for label-free contrast microscopy: review and comprehensive comparison

Overview of attention for article published in BMC Bioinformatics, June 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 (92nd percentile)

Mentioned by

twitter
21 tweeters

Citations

dimensions_citation
56 Dimensions

Readers on

mendeley
154 Mendeley
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Title
Cell segmentation methods for label-free contrast microscopy: review and comprehensive comparison
Published in
BMC Bioinformatics, June 2019
DOI 10.1186/s12859-019-2880-8
Pubmed ID
Authors

Tomas Vicar, Jan Balvan, Josef Jaros, Florian Jug, Radim Kolar, Michal Masarik, Jaromir Gumulec

Twitter Demographics

The data shown below were collected from the profiles of 21 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 154 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 154 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 34 22%
Student > Ph. D. Student 31 20%
Student > Master 19 12%
Student > Bachelor 16 10%
Student > Doctoral Student 7 5%
Other 15 10%
Unknown 32 21%
Readers by discipline Count As %
Engineering 28 18%
Biochemistry, Genetics and Molecular Biology 25 16%
Computer Science 20 13%
Physics and Astronomy 13 8%
Agricultural and Biological Sciences 12 8%
Other 23 15%
Unknown 33 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 16 March 2021.
All research outputs
#2,252,128
of 19,562,105 outputs
Outputs from BMC Bioinformatics
#782
of 6,621 outputs
Outputs of similar age
#47,845
of 278,674 outputs
Outputs of similar age from BMC Bioinformatics
#3
of 27 outputs
Altmetric has tracked 19,562,105 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,621 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done well, scoring higher than 88% 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 278,674 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 27 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.