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Bananas as an Energy Source during Exercise: A Metabolomics Approach

Overview of attention for article published in PLOS ONE, May 2012
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
82 news outlets
blogs
4 blogs
twitter
250 X users
facebook
12 Facebook pages
googleplus
1 Google+ user
video
7 YouTube creators

Citations

dimensions_citation
55 Dimensions

Readers on

mendeley
310 Mendeley
citeulike
1 CiteULike
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Title
Bananas as an Energy Source during Exercise: A Metabolomics Approach
Published in
PLOS ONE, May 2012
DOI 10.1371/journal.pone.0037479
Pubmed ID
Authors

David C. Nieman, Nicholas D. Gillitt, Dru A. Henson, Wei Sha, R. Andrew Shanely, Amy M. Knab, Lynn Cialdella-Kam, Fuxia Jin

Abstract

This study compared the acute effect of ingesting bananas (BAN) versus a 6% carbohydrate drink (CHO) on 75-km cycling performance and post-exercise inflammation, oxidative stress, and innate immune function using traditional and metabolomics-based profiling. Trained cyclists (N = 14) completed two 75-km cycling time trials (randomized, crossover) while ingesting BAN or CHO (0.2 g/kg carbohydrate every 15 min). Pre-, post-, and 1-h-post-exercise blood samples were analyzed for glucose, granulocyte (GR) and monocyte (MO) phagocytosis (PHAG) and oxidative burst activity, nine cytokines, F₂-isoprostanes, ferric reducing ability of plasma (FRAP), and metabolic profiles using gas chromatography-mass spectrometry. Blood glucose levels and performance did not differ between BAN and CHO (2.41±0.22, 2.36±0.19 h, P = 0.258). F₂-isoprostanes, FRAP, IL-10, IL-2, IL-6, IL-8, TNFα, GR-PHAG, and MO-PHAG increased with exercise, with no trial differences except for higher levels during BAN for IL-10, IL-8, and FRAP (interaction effects, P = 0.003, 0.004, and 0.012). Of 103 metabolites detected, 56 had exercise time effects, and only one (dopamine) had a pattern of change that differed between BAN and CHO. Plots from the PLS-DA model visualized a distinct separation in global metabolic scores between time points [R²Y(cum) = 0.869, Q²(cum) = 0.766]. Of the top 15 metabolites, five were related to liver glutathione production, eight to carbohydrate, lipid, and amino acid metabolism, and two were tricarboxylic acid cycle intermediates. BAN and CHO ingestion during 75-km cycling resulted in similar performance, blood glucose, inflammation, oxidative stress, and innate immune levels. Aside from higher dopamine in BAN, shifts in metabolites following BAN and CHO 75-km cycling time trials indicated a similar pattern of heightened production of glutathione and utilization of fuel substrates in several pathways.

X Demographics

X Demographics

The data shown below were collected from the profiles of 250 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 310 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 6 2%
United States 3 <1%
Portugal 1 <1%
Brazil 1 <1%
France 1 <1%
Spain 1 <1%
Canada 1 <1%
Unknown 296 95%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 50 16%
Researcher 41 13%
Student > Master 41 13%
Student > Ph. D. Student 34 11%
Student > Postgraduate 17 5%
Other 52 17%
Unknown 75 24%
Readers by discipline Count As %
Medicine and Dentistry 50 16%
Agricultural and Biological Sciences 49 16%
Sports and Recreations 35 11%
Nursing and Health Professions 19 6%
Biochemistry, Genetics and Molecular Biology 18 6%
Other 59 19%
Unknown 80 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 847. 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 06 May 2024.
All research outputs
#21,979
of 25,877,363 outputs
Outputs from PLOS ONE
#351
of 225,708 outputs
Outputs of similar age
#60
of 177,533 outputs
Outputs of similar age from PLOS ONE
#2
of 3,861 outputs
Altmetric has tracked 25,877,363 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 225,708 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.9. This one has done particularly well, scoring higher than 99% 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 177,533 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 3,861 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.