Evidence map›Paper›PMID 37855614›Full record

ArticlemBio2023

On the virome's hidden diversity: lessons from RHDV.

Ana M Lopes, Joana Abrantes

Abstract readComment
In one paragraph

Article in mBio, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Domestic European RabbitsTransboundary and emerging diseases · 2025
    Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Ana M Lopes *CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, Vairão, Portugal.ORCID 0000-0002-7176-0969
Joana Abrantes *CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, Vairão, Portugal.ORCID 0000-0002-8391-7134

Funding

Fundação para a Ciência e a Tecnologia (FCT) CEECIND/00078/2017Fundação para a Ciência e a Tecnologia (FCT) CEECIND/01388/2017Fundação para a Ciência e a Tecnologia (FCT) PTDC/CVT-CVT/0143/2021
6 · The paper itself

Abstract

Emerging infectious diseases are a major challenge to human and animal health. While predicting the emergence of pathogens is complex, the advent of high-throughput sequencing technologies has allowed the rapid identification of unknown microbiology diversity within organisms. Here, we discuss an example of a metatranscriptomics output to decipher viral evolution.

Indexed as

High-Throughput Nucleotide SequencingViromeAnimalsGenetic VariationHumansMetagenomicsReoviridaedisease emergencemetatranscriptomicsRNA virusesviral evolution

Identifiers

PMID37855614
PMCPMC10746256

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.