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Development and validation of a risk prediction model for severe hypoglycemia in adult patients with type 2 diabetes: a nationwide population-based cohort study

Overview of attention for article published in Clinical Epidemiology, October 2018
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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 (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
60 Mendeley
Title
Development and validation of a risk prediction model for severe hypoglycemia in adult patients with type 2 diabetes: a nationwide population-based cohort study
Published in
Clinical Epidemiology, October 2018
DOI 10.2147/clep.s169835
Pubmed ID
Authors

Kyungdo Han, Jae-Seung Yun, Yong-Moon Park, Yu-Bae Ahn, Jae-Hyoung Cho, Seon-Ah Cha, Seung-Hyun Ko

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 13%
Student > Master 7 12%
Student > Doctoral Student 7 12%
Researcher 5 8%
Student > Postgraduate 5 8%
Other 14 23%
Unknown 14 23%
Readers by discipline Count As %
Medicine and Dentistry 17 28%
Nursing and Health Professions 8 13%
Computer Science 3 5%
Psychology 3 5%
Biochemistry, Genetics and Molecular Biology 2 3%
Other 10 17%
Unknown 17 28%
Attention Score in Context

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 19 October 2023.
All research outputs
#4,644,645
of 24,641,620 outputs
Outputs from Clinical Epidemiology
#194
of 773 outputs
Outputs of similar age
#87,268
of 348,728 outputs
Outputs of similar age from Clinical Epidemiology
#10
of 41 outputs
Altmetric has tracked 24,641,620 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 773 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one has gotten more attention than average, scoring higher than 73% 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 348,728 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 73% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.