↓ Skip to main content

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

Overview of attention for article published in BMC Biology, May 2021
Altmetric Badge

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)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

twitter
17 X users

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
55 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
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

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 20%
Student > Ph. D. Student 6 11%
Student > Master 5 9%
Lecturer 1 2%
Student > Bachelor 1 2%
Other 3 5%
Unknown 28 51%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 16%
Immunology and Microbiology 7 13%
Medicine and Dentistry 4 7%
Agricultural and Biological Sciences 3 5%
Neuroscience 2 4%
Other 3 5%
Unknown 27 49%
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
#3,254,398
of 26,104,555 outputs
Outputs from BMC Biology
#838
of 2,321 outputs
Outputs of similar age
#78,181
of 458,253 outputs
Outputs of similar age from BMC Biology
#33
of 69 outputs
Altmetric has tracked 26,104,555 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 2,321 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.8. This one has gotten more attention than average, scoring higher than 63% 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 458,253 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 69 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.