Quantifying face mask comfort

  1. Esther Koh
  2. Mythri Ambatipudi
  3. DaLoria L. Boone
  4. Julia B. W. Luehr
  5. Alena Blaise
  6. Jose Gonzalez
  7. Nishant Sule
  8. David J. Mooney
  9. Emily M. He

Reviewed by

Read the full article See related articles

Listed in

Log in to save this article

Abstract

No abstract available

Article activity feed

  1. Version published to 10.1080/15459624.2021.2002342
  2. ScreenIT

    SciScore for 10.1101/2021.03.31.21254723: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    NIH rigor criteria are not applicable to paper type.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Copyright 2020 GraphPad Prism is a registered trademark of GraphPad Software, LLC.
    GraphPad
    suggested: (GraphPad Prism, RRID:SCR_002798)
    Machine learning model development and performance analysis was performed using RStudio v.
    RStudio
    suggested: (RStudio, RRID:SCR_000432)
    Significance of relationships between each parameter and comfort score was determined in GraphPad Prism using the F-test.
    GraphPad Prism
    suggested: (GraphPad Prism, RRID:SCR_002798)

    Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

    Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

    Results from TrialIdentifier: No clinical trial numbers were referenced.

    Results from Barzooka: We found bar graphs of continuous data. We recommend replacing bar graphs with more informative graphics, as many different datasets can lead to the same bar graph. The actual data may suggest different conclusions from the summary statistics. For more information, please see Weissgerber et al (2015).

    Results from JetFighter: We did not find any issues relating to colormaps.

    Results from rtransparent:
    • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
    • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
    • No protocol registration statement was detected.

    About SciScore

    SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

  3. Version published to 10.1101/2021.03.31.21254723v1 on medRxiv