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Advantages of the nested case-control design in diagnostic research

Overview of attention for article published in BMC Medical Research Methodology, July 2008
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
65 Dimensions

Readers on

mendeley
125 Mendeley
citeulike
4 CiteULike
Title
Advantages of the nested case-control design in diagnostic research
Published in
BMC Medical Research Methodology, July 2008
DOI 10.1186/1471-2288-8-48
Pubmed ID
Authors

Cornelis J Biesheuvel, Yvonne Vergouwe, Ruud Oudega, Arno W Hoes, Diederick E Grobbee, Karel GM Moons

Abstract

Despite its benefits, it is uncommon to apply the nested case-control design in diagnostic research. We aim to show advantages of this design for diagnostic accuracy studies.

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

Geographical breakdown

Country Count As %
Kenya 2 2%
Norway 1 <1%
Tanzania, United Republic of 1 <1%
France 1 <1%
Switzerland 1 <1%
Portugal 1 <1%
Brazil 1 <1%
Finland 1 <1%
United States 1 <1%
Other 0 0%
Unknown 115 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 22%
Researcher 21 17%
Student > Master 21 17%
Professor > Associate Professor 8 6%
Student > Postgraduate 7 6%
Other 29 23%
Unknown 11 9%
Readers by discipline Count As %
Medicine and Dentistry 70 56%
Agricultural and Biological Sciences 10 8%
Psychology 6 5%
Nursing and Health Professions 4 3%
Veterinary Science and Veterinary Medicine 3 2%
Other 13 10%
Unknown 19 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 08 September 2019.
All research outputs
#8,776,065
of 13,995,172 outputs
Outputs from BMC Medical Research Methodology
#926
of 1,286 outputs
Outputs of similar age
#81,446
of 148,500 outputs
Outputs of similar age from BMC Medical Research Methodology
#1
of 1 outputs
Altmetric has tracked 13,995,172 research outputs across all sources so far. This one is in the 24th percentile – i.e., 24% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,286 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. 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 148,500 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 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them