↓ Skip to main content

Comparative efficacy of acupuncture-related techniques for mild cognitive impairment: A Bayesian network analysis

Overview of attention for article published in Frontiers in Neurology, November 2022
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

twitter
3 X users

Readers on

mendeley
13 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
Comparative efficacy of acupuncture-related techniques for mild cognitive impairment: A Bayesian network analysis
Published in
Frontiers in Neurology, November 2022
DOI 10.3389/fneur.2022.942682
Pubmed ID
Authors

Xin Li, Lanfeng Lai, Liming Lu, Liang Yan, Kelin Deng, ZhiMing Li, Nenggui Xu, JiaYing Zhao

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 8%
Researcher 1 8%
Lecturer 1 8%
Other 1 8%
Unknown 9 69%
Readers by discipline Count As %
Medicine and Dentistry 2 15%
Neuroscience 1 8%
Biochemistry, Genetics and Molecular Biology 1 8%
Unknown 9 69%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 02 December 2022.
All research outputs
#14,505,209
of 23,243,271 outputs
Outputs from Frontiers in Neurology
#5,876
of 12,164 outputs
Outputs of similar age
#198,344
of 432,303 outputs
Outputs of similar age from Frontiers in Neurology
#161
of 654 outputs
Altmetric has tracked 23,243,271 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,164 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one is in the 49th percentile – i.e., 49% 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 432,303 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 654 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 69% of its contemporaries.