Evidence map›Paper›PMID 35528940›Full record

ArticleFrontiers in plant science2022

Mass Spectrometry-Based Targeted Lipidomics and Supervised Machine Learning Algorithms in Detecting Disease, Cultivar, and Treatment Biomarkers in

Valeria Scala, Manuel Salustri, Stefania Loreti, Nicoletta Pucci, Andrea Cacciotti, Giuseppe Tatulli, Marco Scortichini, Massimo Reverberi

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

Article in Frontiers in plant science, 2022. 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
1.7field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. A Decade after the Outbreak ofPlants (Basel, Switzerland) · 2024
    Review
  4. 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

8 authors at 2 institutions in 1 country.

Valeria ScalaCouncil for Agricultural Research and Economics (CREA), Research Centre for Plant Protection and Certification, Rome, Italy.
Manuel SalustriDepartment of Environmental Biology, Sapienza University, Rome, Italy.
Stefania LoretiCouncil for Agricultural Research and Economics (CREA), Research Centre for Plant Protection and Certification, Rome, Italy.
Nicoletta PucciCouncil for Agricultural Research and Economics (CREA), Research Centre for Plant Protection and Certification, Rome, Italy.
Andrea CacciottiDepartment of Environmental Biology, Sapienza University, Rome, Italy.
Giuseppe TatulliCouncil for Agricultural Research and Economics (CREA), Research Centre for Plant Protection and Certification, Rome, Italy.
Marco ScortichiniCouncil for Agricultural Research and Economics (CREA), Research Centre for Olive, Fruit and Citrus Crops, Rome, Italy.
Massimo ReverberiDepartment of Environmental Biology, Sapienza University, Rome, Italy.
Cereal Research Centre · ITSapienza University of Rome · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In 2013,

Indexed as

detectionlipidsmachine learning algorithmsolive treesoxylipinsXylella fastidiosa

Identifiers

PMID35528940
PMCPMC9072861
OpenAlexW4224303008

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.