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Validation of obesity based on self-reported data in Spanish women participants in breast cancer screening programmes

Overview of attention for article published in BMC Public Health, December 2011
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Title
Validation of obesity based on self-reported data in Spanish women participants in breast cancer screening programmes
Published in
BMC Public Health, December 2011
DOI 10.1186/1471-2458-11-960
Pubmed ID
Authors

Beatriz Isidoro, Virginia Lope, Carmen Pedraz-Pingarrón, Francisca Collado-García, Carmen Santamariña, Pilar Moreo, Carmen Vidal, María Soledad Laso, Milagros García-Lopez, Marina Pollán

Abstract

Measurement of obesity using self-reported anthropometric data usually involves underestimation of weight and/or overestimation of height. The dual aim of this study was, first, to ascertain and assess the validity of new cut-off points, for both overweight and obesity, using self-reported Body Mass Index furnished by women participants in breast cancer screening programmes, and second, to estimate and validate a predictive model that allows recalculate individual BMI based on self-reported data.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 20%
Researcher 5 17%
Professor 3 10%
Student > Ph. D. Student 2 7%
Student > Doctoral Student 1 3%
Other 6 20%
Unknown 7 23%
Readers by discipline Count As %
Medicine and Dentistry 13 43%
Unspecified 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Nursing and Health Professions 1 3%
Agricultural and Biological Sciences 1 3%
Other 5 17%
Unknown 8 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 January 2012.
All research outputs
#13,862,653
of 22,660,862 outputs
Outputs from BMC Public Health
#9,977
of 14,742 outputs
Outputs of similar age
#151,490
of 243,605 outputs
Outputs of similar age from BMC Public Health
#114
of 201 outputs
Altmetric has tracked 22,660,862 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,742 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 30th percentile – i.e., 30% 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 243,605 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 201 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.