Evidence map›Paper›PMID 32457701›Full record

ArticleFrontiers in microbiology2020

Rapid and Culture Free Identification of

Natalie Witt, Sandro Andreotti, Anne Busch, Kerstin Neubert, Knut Reinert, Herbert Tomaso, David Meierhofer

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

Article in Frontiers in microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Strengthening the genomic surveillance ofFrontiers in microbiology · 2023
    Article
  3. Article
  4. Review
  5. 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

7 authors at 4 institutions in 1 country.

Natalie WittMass Spectrometry Facility, Max Planck Institute for Molecular Genetics, Berlin, Germany.
Sandro AndreottiBioinformatics Solution Center, Department of Mathematics and Computer Science, Freie Universität Berlin, Germany.
Anne BuschInstitute of Bacterial Infections and Zoonoses, Friedrich-Loeffler-Institut, Jena, Germany.
Kerstin NeubertDepartment of Mathematics and Computer Science, Freie Universität Berlin, Berlin, Germany.
Knut ReinertDepartment of Mathematics and Computer Science, Freie Universität Berlin, Berlin, Germany.
Herbert TomasoInstitute of Bacterial Infections and Zoonoses, Friedrich-Loeffler-Institut, Jena, Germany.
David MeierhoferMass Spectrometry Facility, Max Planck Institute for Molecular Genetics, Berlin, Germany.
Freie Universität Berlin · DEFriedrich-Loeffler-Institut · DEMax Planck Institute for Molecular Genetics · DETechnische Universität Berlin · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Zoonotic pathogens that can be transmitted via food to humans have a high potential for large-scale emergencies, comprising severe effects on public health, critical infrastructures, and the economy. In this context, the development of laboratory methods to rapidly detect zoonotic bacteria in the food supply chain, including high-resolution mass spectrometry proteotyping are needed. In this work, an optimized sample preparation method for liquid chromatography-tandem mass spectrometry (LC-MS/MS)-based proteome profiling was established for

Indexed as

detection of pathogensFrancisella tularensishigh-resolution tandem mass spectrometry proteotypingphylogenetic analysisproteome profiling

Identifiers

PMID32457701
PMCPMC7225524
OpenAlexW3023525577

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.