Evidence map›Paper›PMID 32287542›Full record

ReviewTrends in analytical chemistry : TRAC2017

Spectroscopy with computational analysis in virological studies: A decade (2006-2016).

Marfran C D Santos, Camilo L M Morais, Yasmin M Nascimento, Josélio M G Araujo, Kássio M G Lima

Open access · bronzeAbstract readReview
In one paragraph

Review in Trends in analytical chemistry : TRAC, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
7.4field-weighted citation impact, top 3% of its field
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

21 citing papers in PubMed, 76 citations in OpenAlex.

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  20. Biosensors · 2019
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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

5 authors at 2 institutions in 1 country.

Marfran C D SantosBiological Chemistry and Chemometrics, Institute of Chemistry, Federal University of Rio Grande Do Norte, Natal 59072-970, RN, Brazil.
Camilo L M MoraisBiological Chemistry and Chemometrics, Institute of Chemistry, Federal University of Rio Grande Do Norte, Natal 59072-970, RN, Brazil.
Yasmin M NascimentoLaboratory of Molecular Biology for Infectious Diseases and Cancer, Department of Microbiology and Parasitology, Federal University of Rio Grande Do Norte, Natal 59072-970, Brazil.
Josélio M G AraujoLaboratory of Molecular Biology for Infectious Diseases and Cancer, Department of Microbiology and Parasitology, Federal University of Rio Grande Do Norte, Natal 59072-970, Brazil.
Kássio M G LimaBiological Chemistry and Chemometrics, Institute of Chemistry, Federal University of Rio Grande Do Norte, Natal 59072-970, RN, Brazil.
Universidade Federal do Rio Grande · BRUniversidade Federal do Rio Grande do Norte · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review presents a retrospective of the studies carried out in the last 10 years (2006-2016) using spectroscopic methods as a research tool in the field of virology. Spectroscopic analyses are sensitive to variations in the biochemical composition of the sample, are non-destructive, fast and require the least sample preparation, making spectroscopic techniques tools of great interest in biological studies. Herein important chemometric algorithms that have been used in virological studies are also evidenced as a good alternative for analyzing the spectra, discrimination and classification of samples. Techniques that have not yet been used in the field of virology are also suggested. This methodology emerges as a new and promising field of research, and may be used in the near future as diagnosis tools for detecting diseases caused by viruses.

Indexed as

ChemometricsClassification algorithmsMultivariate analysisSpectroscopyVirus identification

Identifiers

PMID32287542
PMCPMC7112788
OpenAlexW2760645500

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.