Evidence map›Paper›PMID 31301144›Full record

ReviewJournal of experimental botany2019

Measurement accuracy and uncertainty in plant biomechanics.

Nathanael Nelson, Christopher J Stubbs, Ryan Larson, Douglas D Cook

Abstract readReview
In one paragraph

Review in Journal of experimental botany, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Plant biomechanics in the 21st century.Journal of experimental botany · 2019
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Nathanael NelsonDepartment of Mechanical Engineering, Brigham Young University, Provo, UT, USA.
Christopher J StubbsDepartment of Mechanical Engineering, New York University, Brooklyn, NY, USA.
Ryan LarsonDepartment of Mechanical Engineering, Brigham Young University, Provo, UT, USA.
Douglas D CookDepartment of Mechanical Engineering, Brigham Young University, Provo, UT, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

All scientific measurements are affected to some degree by both systematic and random errors. The quantification of these errors supports correct interpretation of data, thus supporting scientific progress. Absence of information regarding reliability and accuracy can slow scientific progress, and can lead to a reproducibility crisis. Here we consider both measurement theory and plant biomechanics literature. Drawing from measurement theory literature, we review techniques for assessing both the accuracy and uncertainty of a measurement process. In our survey of plant biomechanics literature, we found that direct assessment of measurement accuracy and uncertainty is not yet common. The advantages and disadvantages of efforts to quantify measurement accuracy and uncertainty are discussed. We conclude with recommended best practices for improving the scientific rigor in plant biomechanics through attention to the issues of measurement accuracy and uncertainty.

Indexed as

Biomechanical PhenomenaBiophysicsPlantsUncertaintyBest practiceserrormeasurementrepeatabilityuncertaintyvalidation

Identifiers

PMID31301144
PMCPMC6650135

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.