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An illustration of and programs estimating attributable fractions in large scale surveys considering multiple risk factors

Overview of attention for article published in BMC Medical Research Methodology, January 2009
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Mentioned by

policy
1 policy source

Citations

dimensions_citation
116 Dimensions

Readers on

mendeley
123 Mendeley
citeulike
1 CiteULike
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Title
An illustration of and programs estimating attributable fractions in large scale surveys considering multiple risk factors
Published in
BMC Medical Research Methodology, January 2009
DOI 10.1186/1471-2288-9-7
Pubmed ID
Authors

Simon Rückinger, Rüdiger von Kries, André Michael Toschke

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 3%
Germany 1 <1%
France 1 <1%
Denmark 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 114 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 25%
Researcher 26 21%
Student > Master 14 11%
Student > Doctoral Student 9 7%
Professor > Associate Professor 8 7%
Other 25 20%
Unknown 10 8%
Readers by discipline Count As %
Medicine and Dentistry 57 46%
Mathematics 7 6%
Social Sciences 7 6%
Environmental Science 5 4%
Veterinary Science and Veterinary Medicine 4 3%
Other 23 19%
Unknown 20 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 05 November 2019.
All research outputs
#7,601,692
of 23,177,498 outputs
Outputs from BMC Medical Research Methodology
#1,112
of 2,045 outputs
Outputs of similar age
#50,067
of 172,155 outputs
Outputs of similar age from BMC Medical Research Methodology
#6
of 6 outputs
Altmetric has tracked 23,177,498 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,045 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one is in the 43rd percentile – i.e., 43% 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 172,155 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 6 others from the same source and published within six weeks on either side of this one.