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Risk prediction models for incident type 2 diabetes in Chinese people with intermediate hyperglycemia: a systematic literature review and external validation study

Overview of attention for article published in Cardiovascular Diabetology, September 2022
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  • Average Attention Score compared to outputs of the same age

Mentioned by

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2 X users

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mendeley
13 Mendeley
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Title
Risk prediction models for incident type 2 diabetes in Chinese people with intermediate hyperglycemia: a systematic literature review and external validation study
Published in
Cardiovascular Diabetology, September 2022
DOI 10.1186/s12933-022-01622-5
Pubmed ID
Authors

Shishi Xu, Ruth L. Coleman, Qin Wan, Yeqing Gu, Ge Meng, Kun Song, Zumin Shi, Qian Xie, Jaakko Tuomilehto, Rury R. Holman, Kaijun Niu, Nanwei Tong

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 8%
Researcher 1 8%
Other 1 8%
Student > Master 1 8%
Unknown 9 69%
Readers by discipline Count As %
Medicine and Dentistry 2 15%
Nursing and Health Professions 1 8%
Unknown 10 77%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 15 September 2022.
All research outputs
#17,363,471
of 25,998,826 outputs
Outputs from Cardiovascular Diabetology
#1,061
of 1,705 outputs
Outputs of similar age
#239,155
of 435,297 outputs
Outputs of similar age from Cardiovascular Diabetology
#36
of 52 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,705 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one is in the 34th percentile – i.e., 34% 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 435,297 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.