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Predicting life expectancy with a long short-term memory recurrent neural network using electronic medical records

Overview of attention for article published in BMC Medical Informatics and Decision Making, February 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 (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
15 X users

Citations

dimensions_citation
39 Dimensions

Readers on

mendeley
125 Mendeley
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Title
Predicting life expectancy with a long short-term memory recurrent neural network using electronic medical records
Published in
BMC Medical Informatics and Decision Making, February 2019
DOI 10.1186/s12911-019-0775-2
Pubmed ID
Authors

Merijn Beeksma, Suzan Verberne, Antal van den Bosch, Enny Das, Iris Hendrickx, Stef Groenewoud

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 125 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 22 18%
Student > Ph. D. Student 15 12%
Researcher 10 8%
Other 6 5%
Student > Doctoral Student 6 5%
Other 16 13%
Unknown 50 40%
Readers by discipline Count As %
Computer Science 20 16%
Medicine and Dentistry 12 10%
Nursing and Health Professions 10 8%
Engineering 7 6%
Psychology 5 4%
Other 14 11%
Unknown 57 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 19 August 2019.
All research outputs
#2,695,433
of 23,130,383 outputs
Outputs from BMC Medical Informatics and Decision Making
#200
of 2,015 outputs
Outputs of similar age
#62,695
of 353,524 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#9
of 55 outputs
Altmetric has tracked 23,130,383 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,015 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 90% 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 353,524 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 82% of its contemporaries.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.