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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Dilated Convolutional Neural Networks for Cardiovascular MR Segmentation in Congenital Heart Disease
|
|---|---|
| Chapter number | 9 |
| Book title |
Reconstruction, Segmentation, and Analysis of Medical Images
|
| Published in |
Lecture notes in computer science, January 2017
|
| DOI | 10.1007/978-3-319-52280-7_9 |
| Book ISBNs |
978-3-31-952279-1, 978-3-31-952280-7
|
| Authors |
Jelmer M. Wolterink, Tim Leiner, Max A. Viergever, Ivana Išgum, Wolterink, Jelmer M., Leiner, Tim, Viergever, Max A., Išgum, Ivana |
X Demographics
The data shown below were collected from the profiles of 23 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 | 7 | 30% |
| India | 2 | 9% |
| South Africa | 1 | 4% |
| Brazil | 1 | 4% |
| Mexico | 1 | 4% |
| Spain | 1 | 4% |
| Turkey | 1 | 4% |
| Netherlands | 1 | 4% |
| Unknown | 8 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 61% |
| Scientists | 8 | 35% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 97 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 22% |
| Student > Master | 14 | 14% |
| Researcher | 13 | 13% |
| Student > Bachelor | 10 | 10% |
| Student > Doctoral Student | 5 | 5% |
| Other | 12 | 12% |
| Unknown | 22 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 36 | 37% |
| Engineering | 22 | 23% |
| Medicine and Dentistry | 9 | 9% |
| Biochemistry, Genetics and Molecular Biology | 2 | 2% |
| Agricultural and Biological Sciences | 2 | 2% |
| Other | 4 | 4% |
| Unknown | 22 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 27 March 2018.
All research outputs
#3,369,117
of 25,563,770 outputs
Outputs from Lecture notes in computer science
#651
of 8,164 outputs
Outputs of similar age
#63,913
of 421,633 outputs
Outputs of similar age from Lecture notes in computer science
#22
of 137 outputs
Altmetric has tracked 25,563,770 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,164 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 92% 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 421,633 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 84% of its contemporaries.
We're also able to compare this research output to 137 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.