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Multitask learning and benchmarking with clinical time series data

Overview of attention for article published in Scientific Data, June 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

twitter
24 X users
patent
2 patents

Citations

dimensions_citation
476 Dimensions

Readers on

mendeley
680 Mendeley
Title
Multitask learning and benchmarking with clinical time series data
Published in
Scientific Data, June 2019
DOI 10.1038/s41597-019-0103-9
Pubmed ID
Authors

Hrayr Harutyunyan, Hrant Khachatrian, David C. Kale, Greg Ver Steeg, Aram Galstyan

X Demographics

X Demographics

The data shown below were collected from the profiles of 24 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 680 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 680 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 141 21%
Student > Master 81 12%
Researcher 77 11%
Student > Bachelor 47 7%
Other 28 4%
Other 80 12%
Unknown 226 33%
Readers by discipline Count As %
Computer Science 223 33%
Engineering 76 11%
Medicine and Dentistry 35 5%
Mathematics 18 3%
Business, Management and Accounting 11 2%
Other 74 11%
Unknown 243 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 21 March 2023.
All research outputs
#2,063,717
of 25,837,817 outputs
Outputs from Scientific Data
#849
of 3,408 outputs
Outputs of similar age
#43,138
of 370,028 outputs
Outputs of similar age from Scientific Data
#20
of 92 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,408 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.9. This one has done well, scoring higher than 75% 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 370,028 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 92 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.