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Mendeley readers
Attention Score in Context
Title |
Age- and gender-specific population attributable risks of metabolic disorders on all-cause and cardiovascular mortality in Taiwan
|
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Published in |
BMC Public Health, February 2012
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DOI | 10.1186/1471-2458-12-111 |
Pubmed ID | |
Authors |
Wuan-Szu Wang, Mark L Wahlqvist, Chih-Cheng Hsu, Hsing-Yi Chang, Wan-Chi Chang, Chu-Chih Chen |
Abstract |
The extent of attributable risks of metabolic syndrome (MetS) and its components on mortality remains unclear, especially with respect to age and gender. We aimed to assess the age- and gender-specific population attributable risks (PARs) for cardiovascular disease (CVD)-related mortality and all-cause mortality for public health planning. |
X Demographics
The data shown below were collected from the profiles of 2 X users 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 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 42 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 9 | 21% |
Student > Ph. D. Student | 5 | 12% |
Student > Bachelor | 4 | 10% |
Researcher | 4 | 10% |
Student > Doctoral Student | 3 | 7% |
Other | 8 | 19% |
Unknown | 9 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 10 | 24% |
Nursing and Health Professions | 7 | 17% |
Environmental Science | 3 | 7% |
Agricultural and Biological Sciences | 3 | 7% |
Social Sciences | 2 | 5% |
Other | 4 | 10% |
Unknown | 13 | 31% |
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 13 February 2012.
All research outputs
#18,781,379
of 23,940,793 outputs
Outputs from BMC Public Health
#13,140
of 15,743 outputs
Outputs of similar age
#198,977
of 254,565 outputs
Outputs of similar age from BMC Public Health
#194
of 226 outputs
Altmetric has tracked 23,940,793 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 15,743 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one is in the 13th percentile – i.e., 13% 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 254,565 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 226 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.