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Medication Adherence and Associated Factors in Patients With Type 2 Diabetes: A Structural Equation Model

Overview of attention for article published in Frontiers in Public Health, November 2021
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
5 news outlets
twitter
1 X user

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
111 Mendeley
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Title
Medication Adherence and Associated Factors in Patients With Type 2 Diabetes: A Structural Equation Model
Published in
Frontiers in Public Health, November 2021
DOI 10.3389/fpubh.2021.730845
Pubmed ID
Authors

Jing Huang, Shenglan Ding, Shuyuan Xiong, Zhiping Liu

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

Geographical breakdown

Country Count As %
Unknown 111 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 8%
Other 8 7%
Researcher 7 6%
Lecturer 7 6%
Student > Bachelor 5 5%
Other 16 14%
Unknown 59 53%
Readers by discipline Count As %
Nursing and Health Professions 22 20%
Medicine and Dentistry 9 8%
Pharmacology, Toxicology and Pharmaceutical Science 3 3%
Psychology 3 3%
Agricultural and Biological Sciences 2 2%
Other 8 7%
Unknown 64 58%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 35. 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 08 September 2023.
All research outputs
#1,089,753
of 24,403,034 outputs
Outputs from Frontiers in Public Health
#510
of 12,524 outputs
Outputs of similar age
#25,710
of 432,653 outputs
Outputs of similar age from Frontiers in Public Health
#20
of 689 outputs
Altmetric has tracked 24,403,034 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,524 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done particularly well, scoring higher than 95% 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 432,653 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 689 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.