↓ Skip to main content

Predicting Diabetes and Estimating Its Economic Burden in China Using Autoregressive Integrated Moving Average Model

Overview of attention for article published in International Journal of Public Health, January 2022
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
26 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Predicting Diabetes and Estimating Its Economic Burden in China Using Autoregressive Integrated Moving Average Model
Published in
International Journal of Public Health, January 2022
DOI 10.3389/ijph.2021.1604449
Pubmed ID
Authors

Di Zhu, Dongnan Zhou, Nana Li, Bing Han

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.
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 %
Unspecified 4 15%
Student > Ph. D. Student 3 12%
Student > Bachelor 3 12%
Student > Postgraduate 2 8%
Researcher 1 4%
Other 1 4%
Unknown 12 46%
Readers by discipline Count As %
Unspecified 4 15%
Nursing and Health Professions 2 8%
Social Sciences 2 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Business, Management and Accounting 1 4%
Other 4 15%
Unknown 12 46%
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 14 February 2022.
All research outputs
#20,673,680
of 25,392,582 outputs
Outputs from International Journal of Public Health
#1,660
of 1,902 outputs
Outputs of similar age
#388,570
of 515,638 outputs
Outputs of similar age from International Journal of Public Health
#34
of 40 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,902 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one is in the 2nd percentile – i.e., 2% 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 515,638 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.