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Timeline
X Demographics
Mendeley readers
Attention Score in Context
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
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 5 | 29% |
Italy | 1 | 6% |
Canada | 1 | 6% |
United Kingdom | 1 | 6% |
Unknown | 9 | 53% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 8 | 47% |
Science communicators (journalists, bloggers, editors) | 4 | 24% |
Scientists | 4 | 24% |
Practitioners (doctors, other healthcare professionals) | 1 | 6% |
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
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.