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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
High-Dimensional Bayesian Optimization of Personalized Cardiac Model Parameters via an Embedded Generative Model
|
---|---|
Chapter number | 56 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2018
|
Published in |
arXiv, September 2018
|
DOI | 10.1007/978-3-030-00934-2_56 |
Book ISBNs |
978-3-03-000933-5, 978-3-03-000934-2
|
Authors |
Jwala Dhamala, Sandesh Ghimire, John L. Sapp, B. Milan Horáček, Linwei Wang, B. Milan Horácek |
X Demographics
The data shown below were collected from the profiles of 6 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 | 1 | 17% |
Venezuela, Bolivarian Republic of | 1 | 17% |
Unknown | 4 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 20 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 45% |
Student > Doctoral Student | 2 | 10% |
Student > Master | 2 | 10% |
Student > Bachelor | 1 | 5% |
Professor | 1 | 5% |
Other | 3 | 15% |
Unknown | 2 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 7 | 35% |
Engineering | 3 | 15% |
Agricultural and Biological Sciences | 2 | 10% |
Mathematics | 2 | 10% |
Materials Science | 1 | 5% |
Other | 1 | 5% |
Unknown | 4 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 23 May 2020.
All research outputs
#14,923,400
of 24,998,746 outputs
Outputs from arXiv
#239,546
of 1,020,408 outputs
Outputs of similar age
#165,490
of 316,938 outputs
Outputs of similar age from arXiv
#6,319
of 22,077 outputs
Altmetric has tracked 24,998,746 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,020,408 research outputs from this source. They receive a mean Attention Score of 4.1. This one has gotten more attention than average, scoring higher than 74% 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 316,938 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22,077 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.