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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Cell Detection with Star-Convex Polygons
|
---|---|
Chapter number | 30 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2018
|
Published in |
arXiv, September 2018
|
DOI | 10.1007/978-3-030-00934-2_30 |
Book ISBNs |
978-3-03-000933-5, 978-3-03-000934-2
|
Authors |
Uwe Schmidt, Martin Weigert, Coleman Broaddus, Gene Myers |
X Demographics
The data shown below were collected from the profiles of 24 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 9 | 38% |
United States | 2 | 8% |
United Kingdom | 1 | 4% |
Portugal | 1 | 4% |
Netherlands | 1 | 4% |
Sweden | 1 | 4% |
Italy | 1 | 4% |
Unknown | 8 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 15 | 63% |
Scientists | 8 | 33% |
Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 781 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 781 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 151 | 19% |
Student > Bachelor | 94 | 12% |
Researcher | 93 | 12% |
Student > Master | 88 | 11% |
Student > Doctoral Student | 33 | 4% |
Other | 66 | 8% |
Unknown | 256 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 143 | 18% |
Computer Science | 67 | 9% |
Engineering | 62 | 8% |
Agricultural and Biological Sciences | 56 | 7% |
Medicine and Dentistry | 35 | 4% |
Other | 141 | 18% |
Unknown | 277 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 25. 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 28 November 2023.
All research outputs
#1,550,525
of 25,837,817 outputs
Outputs from arXiv
#22,944
of 937,964 outputs
Outputs of similar age
#30,817
of 337,758 outputs
Outputs of similar age from arXiv
#467
of 19,233 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 937,964 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 97% 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 337,758 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 19,233 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.