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Performance of ICD-10-CM Diagnosis Codes for Identifying Acute Ischemic Stroke in a National Health Insurance Claims Database

Overview of attention for article published in Clinical Epidemiology, September 2020
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Mentioned by

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1 X user

Citations

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57 Dimensions

Readers on

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26 Mendeley
Title
Performance of ICD-10-CM Diagnosis Codes for Identifying Acute Ischemic Stroke in a National Health Insurance Claims Database
Published in
Clinical Epidemiology, September 2020
DOI 10.2147/clep.s273853
Pubmed ID
Authors

Meng-Tsang Hsieh, Cheng-Yang Hsieh, Tzu-Tung Tsai, Yi-Ching Wang, Sheng-Feng Sung

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 15%
Student > Doctoral Student 3 12%
Other 2 8%
Researcher 2 8%
Student > Bachelor 1 4%
Other 3 12%
Unknown 11 42%
Readers by discipline Count As %
Medicine and Dentistry 4 15%
Biochemistry, Genetics and Molecular Biology 2 8%
Nursing and Health Professions 2 8%
Unspecified 1 4%
Social Sciences 1 4%
Other 1 4%
Unknown 15 58%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 January 2021.
All research outputs
#15,664,272
of 23,274,744 outputs
Outputs from Clinical Epidemiology
#485
of 730 outputs
Outputs of similar age
#249,093
of 399,820 outputs
Outputs of similar age from Clinical Epidemiology
#18
of 24 outputs
Altmetric has tracked 23,274,744 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 730 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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 399,820 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.