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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% |
| Spain | 2 | 8% |
| United Kingdom | 2 | 8% |
| Germany | 2 | 8% |
| Switzerland | 1 | 4% |
| France | 1 | 4% |
| Netherlands | 1 | 4% |
| New Zealand | 1 | 4% |
| Turkey | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 11 | 44% |
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 | 22 | 129% |
| Researcher | 16 | 94% |
| Student > Bachelor | 13 | 76% |
| Professor > Associate Professor | 5 | 29% |
| Other | 19 | 112% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 48 | 282% |
| Engineering | 39 | 229% |
| Medicine and Dentistry | 12 | 71% |
| Physics and Astronomy | 3 | 18% |
| Business, Management and Accounting | 2 | 12% |
| Other | 9 | 53% |
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
#1,682,227
of 26,017,215 outputs
Outputs from arXiv
#25,242
of 938,014 outputs
Outputs of similar age
#33,452
of 428,160 outputs
Outputs of similar age from arXiv
#409
of 13,686 outputs
Altmetric has tracked 26,017,215 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 938,014 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 428,160 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 91% of its contemporaries.
We're also able to compare this research output to 13,686 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.