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X Demographics
Mendeley readers
Attention Score in Context
Title |
Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges
|
---|---|
Published by |
arXiv, January 2017
|
DOI | 10.1007/978-3-319-75541-0 |
ISBNs |
978-3-31-975540-3, 978-3-31-975541-0
|
Authors |
Fabian Isensee, Paul Jaeger, Peter M. Full, Ivo Wolf, Sandy Engelhardt, Klaus H. Maier-Hein |
Editors |
Mihaela Pop, Maxime Sermesant, Pierre-Marc Jodoin, Alain Lalande, Xiahai Zhuang, Guang Yang, Alistair Young, Olivier Bernard |
X Demographics
The data shown below were collected from the profiles of 25 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 12% |
Germany | 2 | 8% |
Spain | 2 | 8% |
United Kingdom | 2 | 8% |
Netherlands | 1 | 4% |
Turkey | 1 | 4% |
Switzerland | 1 | 4% |
France | 1 | 4% |
New Zealand | 1 | 4% |
Other | 1 | 4% |
Unknown | 10 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 17 | 68% |
Scientists | 7 | 28% |
Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 17 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 49 | 288% |
Student > Master | 20 | 118% |
Researcher | 15 | 88% |
Student > Bachelor | 13 | 76% |
Professor > Associate Professor | 5 | 29% |
Other | 18 | 106% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 46 | 271% |
Engineering | 39 | 229% |
Medicine and Dentistry | 12 | 71% |
Chemistry | 2 | 12% |
Business, Management and Accounting | 2 | 12% |
Other | 8 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 14 February 2023.
All research outputs
#1,548,839
of 24,620,113 outputs
Outputs from arXiv
#23,906
of 994,843 outputs
Outputs of similar age
#32,259
of 430,398 outputs
Outputs of similar age from arXiv
#420
of 14,667 outputs
Altmetric has tracked 24,620,113 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 994,843 research outputs from this source. They receive a mean Attention Score of 4.1. 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 430,398 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 92% of its contemporaries.
We're also able to compare this research output to 14,667 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.