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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
A Non-parametric Statistical Shape Model for Assessment of the Surgically Repaired Aortic Arch in Coarctation of the Aorta: How Normal is Abnormal?
|
---|---|
Chapter number | 3 |
Book title |
Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges
|
Published in |
Lecture notes in computer science, January 2016
|
DOI | 10.1007/978-3-319-28712-6_3 |
Book ISBNs |
978-3-31-928711-9, 978-3-31-928712-6
|
Authors |
Jan L. Bruse, Kristin McLeod, Giovanni Biglino, Hopewell N. Ntsinjana, Claudio Capelli, Tain-Yen Hsia, Maxime Sermesant, Xavier Pennec, Andrew M. Taylor, Silvia Schievano, Bruse, JL, McLeod, K, Biglino, G, Ntsinjana, HN, Capelli, C, Hsia, TY, Sermesant, M, Pennec, X, Taylor, AM, Schievano, S |
Editors |
Oscar Camara, Tommaso Mansi, Mihaela Pop, Kawal Rhode, Maxime Sermesant, Alistair Young |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 5% |
Unknown | 18 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 6 | 32% |
Student > Bachelor | 3 | 16% |
Student > Ph. D. Student | 2 | 11% |
Professor | 1 | 5% |
Student > Master | 1 | 5% |
Other | 1 | 5% |
Unknown | 5 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 4 | 21% |
Medicine and Dentistry | 2 | 11% |
Computer Science | 2 | 11% |
Arts and Humanities | 1 | 5% |
Unspecified | 1 | 5% |
Other | 1 | 5% |
Unknown | 8 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 17 March 2017.
All research outputs
#20,328,845
of 22,873,031 outputs
Outputs from Lecture notes in computer science
#6,989
of 8,128 outputs
Outputs of similar age
#330,872
of 394,090 outputs
Outputs of similar age from Lecture notes in computer science
#472
of 546 outputs
Altmetric has tracked 22,873,031 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,128 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 394,090 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 546 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.