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Interpretable clinical prediction via attention-based neural network

Overview of attention for article published in BMC Medical Informatics and Decision Making, July 2020
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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)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
2 news outlets
blogs
1 blog

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
56 Mendeley
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Title
Interpretable clinical prediction via attention-based neural network
Published in
BMC Medical Informatics and Decision Making, July 2020
DOI 10.1186/s12911-020-1110-7
Pubmed ID
Authors

Peipei Chen, Wei Dong, Jinliang Wang, Xudong Lu, Uzay Kaymak, Zhengxing Huang

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 27%
Researcher 7 13%
Student > Doctoral Student 7 13%
Student > Master 5 9%
Student > Bachelor 2 4%
Other 7 13%
Unknown 13 23%
Readers by discipline Count As %
Computer Science 16 29%
Medicine and Dentistry 11 20%
Engineering 6 11%
Mathematics 2 4%
Nursing and Health Professions 1 2%
Other 6 11%
Unknown 14 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 11 August 2020.
All research outputs
#1,275,041
of 18,644,511 outputs
Outputs from BMC Medical Informatics and Decision Making
#71
of 1,683 outputs
Outputs of similar age
#37,318
of 305,870 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#1
of 12 outputs
Altmetric has tracked 18,644,511 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,683 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 done particularly well, scoring higher than 95% 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 305,870 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 12 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.