↓ Skip to main content

Artificial Intelligence in Medicine

Overview of attention for book
Artificial Intelligence in Medicine
Springer International Publishing
Attention for Chapter: Deep Kernel Learning for Mortality Prediction in the Face of Temporal Shift
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
4 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Deep Kernel Learning for Mortality Prediction in the Face of Temporal Shift
Book title
Artificial Intelligence in Medicine
Published in
arXiv, June 2021
DOI 10.1007/978-3-030-77211-6_22
Book ISBNs
978-3-03-077210-9, 978-3-03-077211-6
Authors

Miguel Rios, Ameen Abu-Hanna, Rios, Miguel, Abu-Hanna, Ameen

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 50%
Other 1 25%
Student > Ph. D. Student 1 25%
Readers by discipline Count As %
Philosophy 1 25%
Materials Science 1 25%
Medicine and Dentistry 1 25%
Engineering 1 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 02 December 2022.
All research outputs
#14,262,011
of 24,093,053 outputs
Outputs from arXiv
#233,757
of 1,018,817 outputs
Outputs of similar age
#205,215
of 433,288 outputs
Outputs of similar age from arXiv
#8,082
of 34,442 outputs
Altmetric has tracked 24,093,053 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,018,817 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 76% 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 433,288 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 34,442 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.