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Combinational risk factors of metabolic syndrome identified by fuzzy neural network analysis of health-check data

Overview of attention for article published in BMC Medical Informatics and Decision Making, August 2012
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Mentioned by

twitter
2 tweeters

Citations

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11 Dimensions

Readers on

mendeley
27 Mendeley
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Title
Combinational risk factors of metabolic syndrome identified by fuzzy neural network analysis of health-check data
Published in
BMC Medical Informatics and Decision Making, August 2012
DOI 10.1186/1472-6947-12-80
Pubmed ID
Authors

Yasunori Ushida, Ryuji Kato, Kosuke Niwa, Daisuke Tanimura, Hideo Izawa, Kenji Yasui, Tomokazu Takase, Yasuko Yoshida, Mitsuo Kawase, Tsutomu Yoshida, Toyoaki Murohara, Hiroyuki Honda

Abstract

Lifestyle-related diseases represented by metabolic syndrome develop as results of complex interaction. By using health check-up data from two large studies collected during a long-term follow-up, we searched for risk factors associated with the development of metabolic syndrome.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 7%
Unknown 25 93%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 19%
Student > Ph. D. Student 5 19%
Professor 4 15%
Student > Master 3 11%
Researcher 2 7%
Other 5 19%
Unknown 3 11%
Readers by discipline Count As %
Medicine and Dentistry 9 33%
Engineering 4 15%
Pharmacology, Toxicology and Pharmaceutical Science 2 7%
Computer Science 2 7%
Agricultural and Biological Sciences 1 4%
Other 5 19%
Unknown 4 15%

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 03 August 2012.
All research outputs
#7,784,842
of 12,409,138 outputs
Outputs from BMC Medical Informatics and Decision Making
#781
of 1,122 outputs
Outputs of similar age
#68,419
of 121,447 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#8
of 8 outputs
Altmetric has tracked 12,409,138 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,122 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 20th percentile – i.e., 20% 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 121,447 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one.