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Genotypic variability enhances the reproducibility of an ecological study

Overview of attention for article published in Nature Ecology & Evolution, January 2018
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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 (96th percentile)
  • Average Attention Score compared to outputs of the same age and source

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2 blogs
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98 X users
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4 Facebook pages

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44 Dimensions

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117 Mendeley
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Title
Genotypic variability enhances the reproducibility of an ecological study
Published in
Nature Ecology & Evolution, January 2018
DOI 10.1038/s41559-017-0434-x
Pubmed ID
Authors

Alexandru Milcu, Ruben Puga-Freitas, Aaron M. Ellison, Manuel Blouin, Stefan Scheu, Grégoire T. Freschet, Laura Rose, Sebastien Barot, Simone Cesarz, Nico Eisenhauer, Thomas Girin, Davide Assandri, Michael Bonkowski, Nina Buchmann, Olaf Butenschoen, Sebastien Devidal, Gerd Gleixner, Arthur Gessler, Agnès Gigon, Anna Greiner, Carlo Grignani, Amandine Hansart, Zachary Kayler, Markus Lange, Jean-Christophe Lata, Jean-François Le Galliard, Martin Lukac, Neringa Mannerheim, Marina E. H. Müller, Anne Pando, Paula Rotter, Michael Scherer-Lorenzen, Rahme Seyhun, Katherine Urban-Mead, Alexandra Weigelt, Laura Zavattaro, Jacques Roy

Abstract

Many scientific disciplines are currently experiencing a 'reproducibility crisis' because numerous scientific findings cannot be repeated consistently. A novel but controversial hypothesis postulates that stringent levels of environmental and biotic standardization in experimental studies reduce reproducibility by amplifying the impacts of laboratory-specific environmental factors not accounted for in study designs. A corollary to this hypothesis is that a deliberate introduction of controlled systematic variability (CSV) in experimental designs may lead to increased reproducibility. To test this hypothesis, we had 14 European laboratories run a simple microcosm experiment using grass (Brachypodium distachyon L.) monocultures and grass and legume (Medicago truncatula Gaertn.) mixtures. Each laboratory introduced environmental and genotypic CSV within and among replicated microcosms established in either growth chambers (with stringent control of environmental conditions) or glasshouses (with more variable environmental conditions). The introduction of genotypic CSV led to 18% lower among-laboratory variability in growth chambers, indicating increased reproducibility, but had no significant effect in glasshouses where reproducibility was generally lower. Environmental CSV had little effect on reproducibility. Although there are multiple causes for the 'reproducibility crisis', deliberately including genetic variability may be a simple solution for increasing the reproducibility of ecological studies performed under stringently controlled environmental conditions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 98 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 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 117 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 32 27%
Student > Ph. D. Student 22 19%
Professor 12 10%
Student > Master 9 8%
Student > Bachelor 8 7%
Other 16 14%
Unknown 18 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 64 55%
Environmental Science 13 11%
Biochemistry, Genetics and Molecular Biology 4 3%
Computer Science 1 <1%
Immunology and Microbiology 1 <1%
Other 5 4%
Unknown 29 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 70. 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 21 December 2021.
All research outputs
#613,561
of 25,394,081 outputs
Outputs from Nature Ecology & Evolution
#990
of 2,146 outputs
Outputs of similar age
#14,849
of 469,175 outputs
Outputs of similar age from Nature Ecology & Evolution
#56
of 98 outputs
Altmetric has tracked 25,394,081 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,146 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 149.5. This one has gotten more attention than average, scoring higher than 53% 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 469,175 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 96% of its contemporaries.
We're also able to compare this research output to 98 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.