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Feasibility study of transfer function model on electrocardiogram change caused by acupuncture

Overview of attention for article published in BMC Complementary and Alternative Medicine, February 2017
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Title
Feasibility study of transfer function model on electrocardiogram change caused by acupuncture
Published in
BMC Complementary and Alternative Medicine, February 2017
DOI 10.1186/s12906-017-1615-5
Pubmed ID
Authors

Haebeom Lee, Hyunho Kim, Jungkuk Kim, Hwan-Sup Oh, Young-Jae Park, Young-Bae Park

Abstract

Acupuncture treatments that regulate the heart are used to treat various clinical disorders and conditions. Although many studies have been conducted to measure quantitatively the effects of acupuncture, thus far, models that describe these effects have not been established. The purpose of this study was to derive a transfer function model of acupuncture stimulation within the electrocardiograms based on the periods before, during, and after acupuncture. Fourteen healthy subjects were included in this clinical trial. Five-minute electrocardiograms were captured before, during, and after acupuncture at HT7. For each period, signal-averaged electrocardiograms were created from all of the subjects' 5-min electrocardiograms for that period. Individual transfer functions, which has the highest average goodness of fit, were derived for each period pair. By averaging individual transfer functions, generalized transfer functions were derived. The transfer function with the highest average goodness of fit was a fraction with 4th order numerator and 5th order denominator. Fourteen individual transfer functions were derived separately for each pair of periods: before and during acupuncture, during and after acupuncture, and before and after acupuncture. Three generalized transfer functions were derived by averaging individual transfer functions for each period pair. The three generalized transfer functions that were derived may reflect the electrocardiogram changes caused by acupuncture. However, this clinical trial included only 14 subjects. Further studies with control groups and more subjects are needed. This clinical trial has been registered on the Clinical Research Information Service, Republic of Korea (No. KCT0001944). The first enrolment of subject started at 2 June 2015 and this trial was retrospectively registered at 14 June 2016.

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

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 27%
Student > Bachelor 2 18%
Other 1 9%
Student > Doctoral Student 1 9%
Student > Master 1 9%
Other 1 9%
Unknown 2 18%
Readers by discipline Count As %
Medicine and Dentistry 3 27%
Engineering 2 18%
Neuroscience 2 18%
Nursing and Health Professions 1 9%
Biochemistry, Genetics and Molecular Biology 1 9%
Other 0 0%
Unknown 2 18%

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 2017.
All research outputs
#4,923,843
of 9,064,896 outputs
Outputs from BMC Complementary and Alternative Medicine
#1,230
of 2,241 outputs
Outputs of similar age
#179,125
of 316,412 outputs
Outputs of similar age from BMC Complementary and Alternative Medicine
#29
of 56 outputs
Altmetric has tracked 9,064,896 research outputs across all sources so far. This one is in the 27th percentile – i.e., 27% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,241 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one is in the 36th percentile – i.e., 36% 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 316,412 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.