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Application of a new dietary pattern analysis method in nutritional epidemiology

Overview of attention for article published in BMC Medical Research Methodology, October 2018
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog

Citations

dimensions_citation
31 Dimensions

Readers on

mendeley
58 Mendeley
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Title
Application of a new dietary pattern analysis method in nutritional epidemiology
Published in
BMC Medical Research Methodology, October 2018
DOI 10.1186/s12874-018-0585-8
Pubmed ID
Authors

Fengqing Zhang, Tinashe M. Tapera, Jiangtao Gou

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 24%
Student > Doctoral Student 6 10%
Student > Master 6 10%
Researcher 5 9%
Student > Bachelor 5 9%
Other 5 9%
Unknown 17 29%
Readers by discipline Count As %
Medicine and Dentistry 11 19%
Nursing and Health Professions 9 16%
Psychology 3 5%
Biochemistry, Genetics and Molecular Biology 3 5%
Agricultural and Biological Sciences 3 5%
Other 9 16%
Unknown 20 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 October 2018.
All research outputs
#5,834,059
of 23,109,468 outputs
Outputs from BMC Medical Research Methodology
#831
of 2,035 outputs
Outputs of similar age
#105,084
of 350,835 outputs
Outputs of similar age from BMC Medical Research Methodology
#34
of 67 outputs
Altmetric has tracked 23,109,468 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 2,035 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has gotten more attention than average, scoring higher than 55% of its peers.
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 350,835 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.