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Risk prediction models for diabetic nephropathy among type 2 diabetes patients in China: a systematic review and meta-analysis

Overview of attention for article published in Frontiers in endocrinology, July 2024
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user

Readers on

mendeley
2 Mendeley
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Title
Risk prediction models for diabetic nephropathy among type 2 diabetes patients in China: a systematic review and meta-analysis
Published in
Frontiers in endocrinology, July 2024
DOI 10.3389/fendo.2024.1407348
Pubmed ID
Authors

Wenbin Xu, Yanfei Zhou, Qian Jiang, Yiqian Fang, Qian Yang

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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 50%
Student > Ph. D. Student 1 50%
Readers by discipline Count As %
Unspecified 2 100%
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 03 August 2024.
All research outputs
#18,039,900
of 26,375,498 outputs
Outputs from Frontiers in endocrinology
#5,569
of 13,444 outputs
Outputs of similar age
#100,938
of 202,400 outputs
Outputs of similar age from Frontiers in endocrinology
#42
of 102 outputs
Altmetric has tracked 26,375,498 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,444 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has gotten more attention than average, scoring higher than 54% 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 202,400 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 102 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 50% of its contemporaries.