Evidence map›Paper›PMID 39781403›Full record

ArticleTribology international2024

The need for better metrics for floor-tile topography: Conventional metrics correlate only modestly with shoe-floor friction.

Anna B Randolph, Ky Reifler, Vimanyu Chadha, Tevis D B Jacobs, Kurt E Beschorner

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Tribology international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Anna B RandolphDepartment of Bioengineering, University of Pittsburgh, 3700 O'Hara St., Benedum Hall Room 302, Pittsburgh, PA 15261.
Ky ReiflerDepartment of Mechanical Engineering and Materials Science, University of Pittsburgh, 3700 O'Hara St., Benedum Hall Room 636, Pittsburgh, PA 15261.
Vimanyu ChadhaDepartment of Mechanical Engineering and Materials Science, University of Pittsburgh, 3700 O'Hara St., Benedum Hall Room 636, Pittsburgh, PA 15261.ORCID 0000-0001-5005-9594
Tevis D B JacobsDepartment of Mechanical Engineering and Materials Science, University of Pittsburgh, 3700 O'Hara St., Benedum Hall Room 636, Pittsburgh, PA 15261.ORCID 0000-0001-8576-914X
Kurt E BeschornerDepartment of Bioengineering, University of Pittsburgh, 3700 O'Hara St., Benedum Hall Room 302, Pittsburgh, PA 15261.ORCID 0000-0002-3058-2617

Funding

Reducing slip-and-fall accidents in the workplace: Role of small-scale roughness of floor surfaces to improve frictionR21OH012126 · OH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BESCHORNER, KURT E, JACOBS, TEVIS · 2021 to 2022
$396k
NIOSH CDC HHS R21 OH012126
6 · The paper itself

Abstract

Roughness metrics measured with stylus profilometry are commonly used to explain a floor's friction performance, yet these metrics inconsistently predict shoe-floor friction. While strong correlations have been shown for systematically modified flooring, the goal of this study is to address a gap regarding the predictive ability of these metrics across heterogeneous porcelain flooring products. The predictive ability of four roughness metrics on oily friction performance was assessed using 23 floors and 4 shoe designs. Roughness was moderately correlated with friction (r ranged from 0.374 to 0.760). These results are a reference point for future studies that aim to improve predictions using novel surface characterization approaches that include multiple scales.

Indexed as

Elastomer frictionFlooringHysteresis frictionSlips, trips, and fallsSurface topography

Identifiers

PMID39781403
PMCPMC11708304

What OpenQuestion holds

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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.