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Towards stroke prediction using electronic health records

Overview of attention for article published in BMC Medical Informatics and Decision Making, December 2018
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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 (67th percentile)

Mentioned by

twitter
5 X users
googleplus
1 Google+ user

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
22 Mendeley
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Title
Towards stroke prediction using electronic health records
Published in
BMC Medical Informatics and Decision Making, December 2018
DOI 10.1186/s12911-018-0702-y
Pubmed ID
Authors

Douglas Teoh

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 14%
Student > Bachelor 2 9%
Lecturer 1 5%
Other 1 5%
Unknown 15 68%
Readers by discipline Count As %
Computer Science 3 14%
Nursing and Health Professions 1 5%
Materials Science 1 5%
Engineering 1 5%
Unknown 16 73%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 30 December 2018.
All research outputs
#6,523,558
of 23,120,280 outputs
Outputs from BMC Medical Informatics and Decision Making
#627
of 2,013 outputs
Outputs of similar age
#134,574
of 437,227 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#15
of 49 outputs
Altmetric has tracked 23,120,280 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 2,013 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 67% 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 437,227 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 49 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.