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MATISSE: a method for improved single cell segmentation in imaging mass cytometry

Overview of attention for article published in BMC Biology, May 2021
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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 (84th percentile)

Mentioned by

twitter
21 tweeters

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
36 Mendeley
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Title
MATISSE: a method for improved single cell segmentation in imaging mass cytometry
Published in
BMC Biology, May 2021
DOI 10.1186/s12915-021-01043-y
Pubmed ID
Authors

Matthijs J. D. Baars, Neeraj Sinha, Mojtaba Amini, Annelies Pieterman-Bos, Stephanie van Dam, Maroussia M. P. Ganpat, Miangela M. Laclé, Bas Oldenburg, Yvonne Vercoulen

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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 25%
Student > Ph. D. Student 5 14%
Student > Master 2 6%
Other 1 3%
Student > Bachelor 1 3%
Other 2 6%
Unknown 16 44%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 17%
Immunology and Microbiology 5 14%
Medicine and Dentistry 4 11%
Agricultural and Biological Sciences 3 8%
Engineering 2 6%
Other 1 3%
Unknown 15 42%

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 June 2021.
All research outputs
#2,204,280
of 21,958,674 outputs
Outputs from BMC Biology
#634
of 1,900 outputs
Outputs of similar age
#52,082
of 344,766 outputs
Outputs of similar age from BMC Biology
#1
of 1 outputs
Altmetric has tracked 21,958,674 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,900 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.5. This one has gotten more attention than average, scoring higher than 66% 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 344,766 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 84% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them