Evidence map›Paper›PMID 32613194›Full record

ArticleToxicon: X2020

Fast venomic analysis of

Luciano S Fusco, Emidio B Neto, Aleff F Francisco, Jorge Alfonso, Andreimar Soares, Daniel C Pimenta, Laura C Leiva

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Toxicon: X, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

7 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
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  5. Review
  6. Article
  7. Proteomic characterization ofThe journal of venomous animals and toxins including tropical diseases · 2021
    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

7 authors at 5 institutions in 3 countries.

Luciano S FuscoLaboratorio de Investigación en Proteínas (LabInPro), Instituto de Química Básica y aplicada del Nordeste Argentino (IQUIBA-NEA, CONICET), Universidad Nacional del Nordeste (UNNE), Corrientes, Argentina.
Emidio B NetoLaboratorio de Bioquímica y Biofísica, Instituto Butantan, São Paulo, SP, Brazil.
Aleff F FranciscoDepartamento de Física e Biofísica, Instituto de Biociências, São Paulo State University, UNESP, Botucatu, SP, Brazil.
Jorge AlfonsoCentro de Estudos de Biomoléculas Aplicadas à Saúde (CEBio), Fundação Oswaldo Cruz (FIOCRUZ), Fiocruz Rondônia, Porto Velho-RO e Universidade Federal de Rondônia (UNIR), Porto Velho, RO, Brazil.
Andreimar SoaresCentro de Estudos de Biomoléculas Aplicadas à Saúde (CEBio), Fundação Oswaldo Cruz (FIOCRUZ), Fiocruz Rondônia, Porto Velho-RO e Universidade Federal de Rondônia (UNIR), Porto Velho, RO, Brazil.
Daniel C PimentaLaboratorio de Bioquímica y Biofísica, Instituto Butantan, São Paulo, SP, Brazil.
Laura C LeivaLaboratorio de Investigación en Proteínas (LabInPro), Instituto de Química Básica y aplicada del Nordeste Argentino (IQUIBA-NEA, CONICET), Universidad Nacional del Nordeste (UNNE), Corrientes, Argentina.
Instituto Butantan · BRNational University of the Northeast · ARFundação Oswaldo Cruz · BRParaguayan Center for Population Studies · PYUniversidade Estadual Paulista (Unesp) · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The complete knowledge of the toxins that make up venoms is the base for the treatment of snake accidents victims and the selection of specimens for the preparation of venom pools for antivenom production. In this work, we used a fast and direct venomics approach to identify the toxin families in the

Identifiers

PMID32613194
PMCPMC7322346
OpenAlexW3035668692

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.