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Blood Profile of Proteins and Steroid Hormones Predicts Weight Change after Weight Loss with Interactions of Dietary Protein Level and Glycemic Index

Overview of attention for article published in PLOS ONE, February 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
39 Dimensions

Readers on

mendeley
118 Mendeley
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Title
Blood Profile of Proteins and Steroid Hormones Predicts Weight Change after Weight Loss with Interactions of Dietary Protein Level and Glycemic Index
Published in
PLOS ONE, February 2011
DOI 10.1371/journal.pone.0016773
Pubmed ID
Authors

Ping Wang, Claus Holst, Malene R. Andersen, Arne Astrup, Freek G. Bouwman, Sanne van Otterdijk, Will K. W. H. Wodzig, Marleen A. van Baak, Thomas M. Larsen, Susan A. Jebb, Anthony Kafatos, Andreas F. H. Pfeiffer, J. Alfredo Martinez, Teodora Handjieva-Darlenska, Marie Kunesova, Wim H. M. Saris, Edwin C. M. Mariman

Abstract

Weight regain after weight loss is common. In the Diogenes dietary intervention study, high protein and low glycemic index (GI) diet improved weight maintenance.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
New Zealand 2 2%
Japan 1 <1%
Australia 1 <1%
Unknown 114 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 17%
Student > Master 13 11%
Student > Bachelor 12 10%
Student > Ph. D. Student 9 8%
Other 7 6%
Other 19 16%
Unknown 38 32%
Readers by discipline Count As %
Medicine and Dentistry 32 27%
Agricultural and Biological Sciences 12 10%
Nursing and Health Professions 11 9%
Biochemistry, Genetics and Molecular Biology 6 5%
Psychology 4 3%
Other 9 8%
Unknown 44 37%
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 14 March 2011.
All research outputs
#5,468,597
of 22,709,015 outputs
Outputs from PLOS ONE
#66,423
of 193,901 outputs
Outputs of similar age
#41,276
of 185,292 outputs
Outputs of similar age from PLOS ONE
#493
of 1,304 outputs
Altmetric has tracked 22,709,015 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,901 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has gotten more attention than average, scoring higher than 65% 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 185,292 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 1,304 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.