Evidence map›Paper›PMID 28887423›Full record

ArticleApplied and environmental microbiology2017

Forensic Human Identification Using Skin Microbiomes.

Sarah E Schmedes, August E Woerner, Bruce Budowle

Abstract read
In one paragraph

Article in Applied and environmental microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 3 pooled it
–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

46 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  9. Effective use of skin microbiome signatures for fingerprint identification.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2024
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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

3 authors.

Sarah E SchmedesGraduate School of Biomedical Sciences, University of North Texas Health Science Center, Fort Worth, Texas, USA.
August E WoernerCenter for Human Identification, University of North Texas Health Science Center, Fort Worth, Texas, USA.
Bruce BudowleGraduate School of Biomedical Sciences, University of North Texas Health Science Center, Fort Worth, Texas, USA bruce.budowle@unthsc.edu.ORCID http://orcid.org/0000-0003-4116-2930

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The human microbiome contributes significantly to the genetic content of the human body. Genetic and environmental factors help shape the microbiome, and as such, the microbiome can be unique to an individual. Previous studies have demonstrated the potential to use microbiome profiling for forensic applications; however, a method has yet to identify stable features of skin microbiomes that produce high classification accuracies for samples collected over reasonably long time intervals. A novel approach is described here to classify skin microbiomes to their donors by comparing two feature types:

Indexed as

forensic profilinghuman identificationmetagenomicsskin microbiomesupervised learning

Identifiers

PMID28887423
PMCPMC5666146

What OpenQuestion holds

Textmetadata
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.