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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

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

twitter
4 tweeters

Readers on

mendeley
8 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

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 25%
Student > Ph. D. Student 1 13%
Student > Bachelor 1 13%
Student > Master 1 13%
Other 1 13%
Other 0 0%
Unknown 2 25%
Readers by discipline Count As %
Medicine and Dentistry 2 25%
Mathematics 1 13%
Biochemistry, Genetics and Molecular Biology 1 13%
Environmental Science 1 13%
Unknown 3 38%

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 07 December 2020.
All research outputs
#9,213,682
of 17,180,396 outputs
Outputs from BMC Medical Informatics and Decision Making
#711
of 1,556 outputs
Outputs of similar age
#129,138
of 293,860 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#3
of 9 outputs
Altmetric has tracked 17,180,396 research outputs across all sources so far. This one is in the 46th percentile – i.e., 46% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,556 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 gotten more attention than average, scoring higher than 53% 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 293,860 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 55% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.