Evidence map›Paper›PMID 30956751›Full record

ArticleFootwear science2018

Method for measuring wear on boot outsoles using a 3D laser scanner.

Ashley E Whitson, Lydia M Kocher, Jonisha Pollard, Mahiyar Nasarwanji

Abstract read
In one paragraph

Article in Footwear science, 2018. 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

4 authors.

Ashley E WhitsonNational Institute for Occupational Safety and Health - Pittsburgh Research Laboratory, Pittsburgh, PA, USA.ORCID 0000-0003-3680-9314
Lydia M KocherNational Institute for Occupational Safety and Health - Pittsburgh Research Laboratory, Pittsburgh, PA, USA.ORCID 0000-0003-4372-2284
Jonisha PollardNational Institute for Occupational Safety and Health - Pittsburgh Research Laboratory, Pittsburgh, PA, USA.ORCID 0000-0001-9282-9120
Mahiyar NasarwanjiNational Institute for Occupational Safety and Health - Pittsburgh Research Laboratory, Pittsburgh, PA, USA.ORCID 0000-0002-3961-3432

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

In the mining industry, slips and falls are the second leading cause of non-fatal injuries. Footwear is the primary defence against a slip; consequently, the condition of the footwear outsole is critical to maintaining slip resistance. Currently, there is no published method that can be used to determine when the outsole no longer affords adequate slip protection. Moreover, quantifying the condition of the outsole through the measurement of outsole features can be tedious. This article introduces a new method for the quantification of boot outsole wear. Using a handheld 3D scanner, boot scans can be taken quickly and the developed models used to measure outsole features. This method also accounts for the bending of the boot due to normal wear, which may otherwise introduce erroneous measures. When compared to measurements with a traditional handheld calliper, this new method offers more flexibility in terms of data collection, accounts for other types of boot transformations, and is more efficient to use over multiple measurement periods with no statistically significant differences in measurement.

Indexed as

3D scannerboot treadmetrologyminingslipstread wearwear pattern

Identifiers

PMID30956751
PMCPMC6444364

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.