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X Demographics
Mendeley readers
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
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 7 | 39% |
Italy | 1 | 6% |
United States | 1 | 6% |
Canada | 1 | 6% |
Australia | 1 | 6% |
United Kingdom | 1 | 6% |
Unknown | 6 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 9 | 50% |
Science communicators (journalists, bloggers, editors) | 4 | 22% |
Scientists | 4 | 22% |
Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 49 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 10 | 20% |
Student > Ph. D. Student | 6 | 12% |
Student > Master | 4 | 8% |
Lecturer | 1 | 2% |
Student > Bachelor | 1 | 2% |
Other | 3 | 6% |
Unknown | 24 | 49% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 8 | 16% |
Immunology and Microbiology | 6 | 12% |
Medicine and Dentistry | 4 | 8% |
Agricultural and Biological Sciences | 3 | 6% |
Neuroscience | 2 | 4% |
Other | 3 | 6% |
Unknown | 23 | 47% |