Evidence map›Paper›PMID 32117632›Full record

ArticlePeerJ2020

Suchada Sumruayphol, Praphaiphat Siribat, Jean-Pierre Dujardin, Sébastien Dujardin, Chalit Komalamisra, Urusa Thaenkham

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.4field-weighted citation impact, top 6% 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

16 citing papers in PubMed, 30 citations in OpenAlex.

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  14. Article
  15. Morphological and molecular characterization ofFood and waterborne parasitology · 2021
    Article
  16. Identification of AdultMicroorganisms · 2020
    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

6 authors at 4 institutions in 2 countries.

Suchada Sumruayphol *Department of Medical Entomology, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Praphaiphat Siribat *Department of Biochemistry, Faculty of Science, Mahidol University, Bangkok, Thailand.
Jean-Pierre DujardinIRD, UMR, INTERTRYP IRD, CIRAD, University of Montpellier, Montpellier, France.
Sébastien DujardinIRD, UMR, INTERTRYP IRD, CIRAD, University of Montpellier, Montpellier, France.
Chalit KomalamisraMahidol-Bangkok School of Tropical Medicine, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Urusa ThaenkhamDepartment of Helminthology, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Mahidol Oxford Tropical Medicine Research Unit · THMahidol University · THCentre de Coopération Internationale en Recherche Agronomique pour le Développement · FRUniversité de Montpellier · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background

methodsHere, we explored the possible improvements that modern methods of morphometrics, including landmark-based and outline-based approaches, could bring to solving the problem of the non-molecular identification of these parasites.

resultsOur results revealed that both traditional and modern morphometric approaches can help in the morphological identification of

conclusionWe conclude that morphometrics, whether traditional or modern, represent a valuable tool to assist in

Indexed as

Artificial neural networksFasciolaITS1&ITS2 markersMolecular identificationMorphometrics

Identifiers

PMID32117632
PMCPMC7034386
OpenAlexW3008362320

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.