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Twitter 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 |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 8 | 38% |
| United States | 2 | 10% |
| Italy | 1 | 5% |
| Australia | 1 | 5% |
| Canada | 1 | 5% |
| United Kingdom | 1 | 5% |
| Japan | 1 | 5% |
| Unknown | 6 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 52% |
| Scientists | 5 | 24% |
| Science communicators (journalists, bloggers, editors) | 4 | 19% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 24% |
| Student > Ph. D. Student | 6 | 14% |
| Student > Master | 3 | 7% |
| Student > Bachelor | 2 | 5% |
| Other | 1 | 2% |
| Other | 2 | 5% |
| Unknown | 18 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 19% |
| Immunology and Microbiology | 6 | 14% |
| Medicine and Dentistry | 4 | 10% |
| Agricultural and Biological Sciences | 3 | 7% |
| Engineering | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 17 | 40% |
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
#2,380,122
of 23,308,124 outputs
Outputs from BMC Biology
#670
of 2,039 outputs
Outputs of similar age
#61,309
of 440,505 outputs
Outputs of similar age from BMC Biology
#29
of 69 outputs
Altmetric has tracked 23,308,124 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 2,039 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.6. 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 440,505 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 86% 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 57% of its contemporaries.