Evidence map›Paper›PMID 35734575›Full record

ReviewFrontiers in cellular and infection microbiology2022

Paving the Way: Contributions of Big Data to Apicomplexan and Kinetoplastid Research.

Robyn S Kent, Emma M Briggs, Beatrice L Colon, Catalina Alvarez, Sara Silva Pereira, Mariana De Niz

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Frontiers in cellular and infection microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. The intersection of hostMicrobiology and molecular biology reviews : MMBR · 2024
    Review
  6. Proteomics Applications inPathogens (Basel, Switzerland) · 2023
    Review
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.

Robyn S KentDepartment of Microbiology and Molecular Genetics, University of Vermont, Burlington, VT, United States.
Emma M BriggsInstitute for Immunology and Infection Research, School of Biological Sciences, University Edinburgh, Edinburgh, United Kingdom.
Beatrice L ColonWellcome Centre for Anti-Infectives Research, Division of Biological Chemistry and Drug Discovery, School of Life Sciences, University of Dundee, Dundee, United Kingdom.
Catalina Alvarezde Duve Institute, Université Catholique de Louvain, Brussels, Belgium.
Sara Silva PereiraInstituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina da Universidade de Lisboa, Lisboa, Portugal.
Mariana De NizInstituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina da Universidade de Lisboa, Lisboa, Portugal.

Funding

Multiscale analysis of MyosinA-based motility in Toxoplasma gondiiR01AI139201 · NIAID · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI WARD, GARY E · 2019 to 2023
$2.8M
NIAID NIH HHS R01 AI139201Wellcome TrustWellcome Trust 218648/Z/19/Z
6 · The paper itself

Abstract

In the age of big data an important question is how to ensure we make the most out of the resources we generate. In this review, we discuss the major methods used in Apicomplexan and Kinetoplastid research to produce big datasets and advance our understanding of

Indexed as

CryptosporidiosisCryptosporidiumPlasmodiumToxoplasmaBig DataHumansapicomplexafunctional screensgenomicskinetoplastidmicroscopyproteomicstranscriptomics

Identifiers

PMID35734575
PMCPMC9207352

What Socratic 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 Socratic graph.