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Detection of probable dementia cases in undiagnosed patients using structured and unstructured electronic health records

Overview of attention for article published in BMC Medical Informatics and Decision Making, July 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
53 Mendeley
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Title
Detection of probable dementia cases in undiagnosed patients using structured and unstructured electronic health records
Published in
BMC Medical Informatics and Decision Making, July 2019
DOI 10.1186/s12911-019-0846-4
Pubmed ID
Authors

Yijun Shao, Qing T. Zeng, Kathryn K. Chen, Andrew Shutes-David, Stephen M. Thielke, Debby W. Tsuang

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 28%
Student > Ph. D. Student 12 23%
Student > Master 5 9%
Student > Bachelor 3 6%
Other 2 4%
Other 6 11%
Unknown 10 19%
Readers by discipline Count As %
Medicine and Dentistry 12 23%
Computer Science 8 15%
Nursing and Health Professions 4 8%
Social Sciences 3 6%
Engineering 2 4%
Other 7 13%
Unknown 17 32%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 12 July 2019.
All research outputs
#2,649,741
of 15,422,162 outputs
Outputs from BMC Medical Informatics and Decision Making
#261
of 1,401 outputs
Outputs of similar age
#64,837
of 261,202 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#1
of 6 outputs
Altmetric has tracked 15,422,162 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,401 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 done well, scoring higher than 80% 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 261,202 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 74% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them