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Efficacy and Safety of Traditional Chinese Medicine for Diabetes: A Double-Blind, Randomised, Controlled Trial

Overview of attention for article published in PLOS ONE, February 2013
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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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

blogs
1 blog
twitter
10 X users
weibo
38 weibo users
facebook
17 Facebook pages
video
2 YouTube creators

Citations

dimensions_citation
77 Dimensions

Readers on

mendeley
158 Mendeley
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Title
Efficacy and Safety of Traditional Chinese Medicine for Diabetes: A Double-Blind, Randomised, Controlled Trial
Published in
PLOS ONE, February 2013
DOI 10.1371/journal.pone.0056703
Pubmed ID
Authors

Linong Ji, Xiaolin Tong, Hongyuan Wang, Haoming Tian, Huimin Zhou, Lili Zhang, Qifu Li, Yizhong Wang, Hongmei Li, Min Liu, Hongjie Yang, Yanbin Gao, Yan Li, Quanmin Li, Xiaohui Guo, Gangyi Yang, Zhongai Zhang, Zhiguang Zhou, Guang Ning, Yingli Chen, Sanjoy Paul, the Evidence-Based Medical Research of Xiaoke Pill Study Group

Abstract

Treatment of diabetes mellitus with Traditional Chinese Medicine has a long history. The aim of this study is to establish the safety and efficacy of traditional Chinese medicine combined with glibenclamide to treat type 2 diabetes mellitus.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 158 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 1 <1%
Ghana 1 <1%
Australia 1 <1%
Brazil 1 <1%
Unknown 154 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 35 22%
Student > Master 14 9%
Other 13 8%
Researcher 13 8%
Student > Ph. D. Student 12 8%
Other 26 16%
Unknown 45 28%
Readers by discipline Count As %
Medicine and Dentistry 46 29%
Nursing and Health Professions 19 12%
Agricultural and Biological Sciences 11 7%
Biochemistry, Genetics and Molecular Biology 5 3%
Engineering 4 3%
Other 25 16%
Unknown 48 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 57. 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 January 2023.
All research outputs
#665,216
of 23,505,669 outputs
Outputs from PLOS ONE
#9,241
of 201,319 outputs
Outputs of similar age
#4,622
of 194,537 outputs
Outputs of similar age from PLOS ONE
#215
of 5,365 outputs
Altmetric has tracked 23,505,669 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 201,319 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. 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 194,537 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 97% of its contemporaries.
We're also able to compare this research output to 5,365 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 95% of its contemporaries.