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X Demographics
Mendeley readers
Attention Score in Context
Title |
Influence of Non-Alcoholic Fatty Liver Disease on Autonomic Changes Evaluated by the Time Domain, Frequency Domain, and Symbolic Dynamics of Heart Rate Variability
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Published in |
PLOS ONE, April 2013
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DOI | 10.1371/journal.pone.0061803 |
Pubmed ID | |
Authors |
Yu-Chen Liu, Chi-Sheng Hung, Yen-Wen Wu, Yi-Chin Lee, Yen-Hung Lin, Chen Lin, Men-Tzung Lo, Chun-Chieh Chan, Hsi-Pin Ma, Yi-Lwun Ho, Chien-Hung Chen |
Abstract |
Non-alcoholic fatty liver disease (NAFLD) is associated with cardiovascular atherosclerosis independent of classical risk factors. This study investigated the influence of NAFLD on autonomic changes, which is currently unknown. |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 2% |
Colombia | 1 | 2% |
Unknown | 47 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 7 | 14% |
Student > Bachelor | 6 | 12% |
Researcher | 5 | 10% |
Student > Ph. D. Student | 5 | 10% |
Student > Doctoral Student | 3 | 6% |
Other | 9 | 18% |
Unknown | 14 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 16 | 33% |
Psychology | 3 | 6% |
Nursing and Health Professions | 3 | 6% |
Agricultural and Biological Sciences | 2 | 4% |
Economics, Econometrics and Finance | 2 | 4% |
Other | 6 | 12% |
Unknown | 17 | 35% |
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 30 April 2013.
All research outputs
#18,337,420
of 22,708,120 outputs
Outputs from PLOS ONE
#154,134
of 193,897 outputs
Outputs of similar age
#147,138
of 195,119 outputs
Outputs of similar age from PLOS ONE
#3,704
of 4,967 outputs
Altmetric has tracked 22,708,120 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,897 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 10th percentile – i.e., 10% 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 195,119 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,967 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.