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Guidelines for Biomarker of Food Intake Reviews (BFIRev): how to conduct an extensive literature search for biomarker of food intake discovery

Overview of attention for article published in Genes & Nutrition, February 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)

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9 X users

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Title
Guidelines for Biomarker of Food Intake Reviews (BFIRev): how to conduct an extensive literature search for biomarker of food intake discovery
Published in
Genes & Nutrition, February 2018
DOI 10.1186/s12263-018-0592-8
Pubmed ID
Authors

Giulia Praticò, Qian Gao, Augustin Scalbert, Guy Vergères, Marjukka Kolehmainen, Claudine Manach, Lorraine Brennan, Sri Harsha Pedapati, Lydia A. Afman, David S. Wishart, Rosa Vázquez-Fresno, Cristina Andres-Lacueva, Mar Garcia-Aloy, Hans Verhagen, Edith J. M. Feskens, Lars O. Dragsted

Abstract

Identification of new biomarkers of food and nutrient intake has developed fast over the past two decades and could potentially provide important new tools for compliance monitoring and dietary intake assessment in nutrition and health science. In recent years, metabolomics has played an important role in identifying a large number of putative biomarkers of food intake (BFIs). However, the large body of scientific literature on potential BFIs outside the metabolomics area should also be taken into account. In particular, we believe that extensive literature reviews should be conducted and that the quality of all suggested biomarkers should be systematically evaluated. In order to cover the literature on BFIs in the most appropriate and consistent manner, there is a need for appropriate guidelines on this topic. These guidelines should build upon guidelines in related areas of science while targeting the special needs of biomarker methodology. This document provides a guideline for conducting an extensive literature search on BFIs, which will provide the basis to systematically validate BFIs. This procedure will help to prioritize future work on the identification of new potential biomarkers and on validating these as well as other biomarker candidates, thereby providing better tools for future studies in nutrition and health.

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X Demographics

The data shown below were collected from the profiles of 9 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 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 135 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 19%
Student > Ph. D. Student 23 17%
Student > Master 16 12%
Student > Bachelor 8 6%
Professor 8 6%
Other 23 17%
Unknown 32 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 16%
Biochemistry, Genetics and Molecular Biology 19 14%
Medicine and Dentistry 13 10%
Chemistry 13 10%
Nursing and Health Professions 10 7%
Other 17 13%
Unknown 42 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 16 November 2018.
All research outputs
#4,548,839
of 23,321,213 outputs
Outputs from Genes & Nutrition
#96
of 393 outputs
Outputs of similar age
#88,020
of 331,875 outputs
Outputs of similar age from Genes & Nutrition
#5
of 5 outputs
Altmetric has tracked 23,321,213 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 393 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has done well, scoring higher than 75% 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 331,875 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 73% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.