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A potent weighted risk model for evaluating the occurrence and severity of diabetic foot ulcers

Overview of attention for article published in Diabetology & Metabolic Syndrome, August 2021
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Mentioned by

twitter
1 tweeter

Citations

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2 Dimensions

Readers on

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14 Mendeley
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Title
A potent weighted risk model for evaluating the occurrence and severity of diabetic foot ulcers
Published in
Diabetology & Metabolic Syndrome, August 2021
DOI 10.1186/s13098-021-00711-x
Authors

Lu Shi, Huiyi Wei, Tianxiao Zhang, Zhiying Li, Xiaoxian Chi, Dandan Liu, Dandan Chang, Yueying Zhang, Xiaodan Wang, Qingbin Zhao

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 14%
Student > Bachelor 2 14%
Lecturer 1 7%
Student > Doctoral Student 1 7%
Student > Master 1 7%
Other 1 7%
Unknown 6 43%
Readers by discipline Count As %
Medicine and Dentistry 5 36%
Nursing and Health Professions 2 14%
Pharmacology, Toxicology and Pharmaceutical Science 1 7%
Unknown 6 43%

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 01 September 2021.
All research outputs
#17,729,667
of 21,933,216 outputs
Outputs from Diabetology & Metabolic Syndrome
#432
of 626 outputs
Outputs of similar age
#249,331
of 341,335 outputs
Outputs of similar age from Diabetology & Metabolic Syndrome
#1
of 1 outputs
Altmetric has tracked 21,933,216 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 626 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one is in the 16th percentile – i.e., 16% 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 341,335 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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