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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 (83rd percentile)

Mentioned by

twitter
18 X users

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
50 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

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 20%
Student > Ph. D. Student 6 12%
Student > Master 5 10%
Lecturer 1 2%
Student > Bachelor 1 2%
Other 3 6%
Unknown 24 48%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 18%
Immunology and Microbiology 6 12%
Medicine and Dentistry 4 8%
Agricultural and Biological Sciences 3 6%
Neuroscience 2 4%
Other 3 6%
Unknown 23 46%
Attention Score in Context

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 02 June 2021.
All research outputs
#3,119,867
of 25,988,468 outputs
Outputs from BMC Biology
#557
of 723 outputs
Outputs of similar age
#75,089
of 457,881 outputs
Outputs of similar age from BMC Biology
#1
of 1 outputs
Altmetric has tracked 25,988,468 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 723 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.4. This one has done particularly well, scoring higher than 99% 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 457,881 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 83% 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