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Sparse multi-output Gaussian processes for online medical time series prediction

Overview of attention for article published in BMC Medical Informatics and Decision Making, July 2020
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

twitter
3 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
55 Mendeley
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Title
Sparse multi-output Gaussian processes for online medical time series prediction
Published in
BMC Medical Informatics and Decision Making, July 2020
DOI 10.1186/s12911-020-1069-4
Pubmed ID
Authors

Li-Fang Cheng, Bianca Dumitrascu, Gregory Darnell, Corey Chivers, Michael Draugelis, Kai Li, Barbara E Engelhardt

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 16%
Student > Ph. D. Student 8 15%
Student > Doctoral Student 6 11%
Student > Master 4 7%
Student > Bachelor 3 5%
Other 6 11%
Unknown 19 35%
Readers by discipline Count As %
Computer Science 9 16%
Medicine and Dentistry 4 7%
Biochemistry, Genetics and Molecular Biology 3 5%
Mathematics 3 5%
Engineering 3 5%
Other 11 20%
Unknown 22 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 10 September 2023.
All research outputs
#6,136,740
of 24,411,829 outputs
Outputs from BMC Medical Informatics and Decision Making
#531
of 2,075 outputs
Outputs of similar age
#124,701
of 400,958 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#14
of 60 outputs
Altmetric has tracked 24,411,829 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 2,075 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. 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 400,958 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 68% of its contemporaries.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.