Evidence map›Paper›PMID 39629112›Full record

ArticleEngineering microbiology2024

Impact of

I C Cunha-Ferreira, C S Vizzotto, T D Frederico, J Peixoto, L S Carvalho, M R Tótola, R H Krüger

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Engineering microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Genomic Insight intoPathogens (Basel, Switzerland) · 2025
    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.

I C Cunha-FerreiraLaboratory of Enzymology, Department of Cellular Biology, University of Brasília (UNB), Brasília, 70910-900, Brazil.
C S VizzottoLaboratory of Environmental Sanitation, Department of Civil and Environmental Engineering, University of Brasília (UNB), Brasília, 70910-900, Brazil.
T D FredericoLaboratory of Enzymology, Department of Cellular Biology, University of Brasília (UNB), Brasília, 70910-900, Brazil.
J PeixotoLaboratory of Enzymology, Department of Cellular Biology, University of Brasília (UNB), Brasília, 70910-900, Brazil.
L S CarvalhoLaboratory of Enzymology, Department of Cellular Biology, University of Brasília (UNB), Brasília, 70910-900, Brazil.
M R TótolaLaboratório de Biotecnologia e Biodiversidade para o Meio Ambiente, Universidade Federal de Viçosa (UFV), Viçosa, 36570-900, Brazil.
R H KrügerLaboratory of Enzymology, Department of Cellular Biology, University of Brasília (UNB), Brasília, 70910-900, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The biotechnological industry faces a crucial demand for novel bioactive compounds, particularly antimicrobial agents, to address the rising challenge of bacterial resistance to current available antibiotics. Traditional strategies for cultivating naturally occurring microorganisms often limit the discovery of novel antimicrobial producers. This study presents a protocol for targeted selection of bacterial strains using the supernatant of

Indexed as

Antibacterial activityProspectingSupernatant

Identifiers

PMID39629112
PMCPMC11610968

What Socratic 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 Socratic graph.