Evidence map›Paper›PMID 29445382›Full record

ArticleFrontiers in plant science2018

Innovative Approaches to Evaluate Sugar Beet Responses to Changes in Sulfate Availability.

Piergiorgio Stevanato, Chiara Broccanello, Vita M C Moliterni, Giuseppe Mandolino, Valeria Barone, Luigi Lucini, Giovanni Bertoldo, Marco Bertaggia, Massimo Cagnin, Diego Pizzeghello and 4 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

3 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

14 authors at 4 institutions in 1 country.

Piergiorgio StevanatoDepartment of Agronomy, Food, Natural Resources, Animals and Environment, University of Padova, Padova, Italy.
Chiara BroccanelloDepartment of Agronomy, Food, Natural Resources, Animals and Environment, University of Padova, Padova, Italy.
Vita M C MoliterniCouncil for Agricultural Research and Economics, Genomics Research Centre, Fiorenzuola d'Arda, Italy.
Giuseppe MandolinoCouncil for Agricultural Research and Economics, Research Centre for Industrial Crops, Bologna, Italy.
Valeria BaroneDepartment of Agriculture, Food and Environment, University of Catania, Catania, Italy.
Luigi LuciniInstitute of Agricultural and Environmental Chemistry, Università Cattolica del Sacro Cuore, Piacenza, Italy.
Giovanni BertoldoDepartment of Agronomy, Food, Natural Resources, Animals and Environment, University of Padova, Padova, Italy.
Marco BertaggiaDepartment of Agronomy, Food, Natural Resources, Animals and Environment, University of Padova, Padova, Italy.
Massimo CagninDepartment of Agronomy, Food, Natural Resources, Animals and Environment, University of Padova, Padova, Italy.
Diego PizzeghelloDepartment of Agronomy, Food, Natural Resources, Animals and Environment, University of Padova, Padova, Italy.
Andrea BaglieriDepartment of Agriculture, Food and Environment, University of Catania, Catania, Italy.
Andrea SquartiniDepartment of Agronomy, Food, Natural Resources, Animals and Environment, University of Padova, Padova, Italy.
Giuseppe ConcheriDepartment of Agronomy, Food, Natural Resources, Animals and Environment, University of Padova, Padova, Italy.
Serenella NardiDepartment of Agronomy, Food, Natural Resources, Animals and Environment, University of Padova, Padova, Italy.
University of Padua · ITUniversity of Catania · ITResearch Centre for Cereal and Industrial Crops · ITUniversità Cattolica del Sacro Cuore · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, a system based on omics profiling was set-up for sugar beet (

Indexed as

high-throughput qPCR profilingnutritional stressomics profilingsugar beet yieldsulfate availability

Identifiers

PMID29445382
PMCPMC5797807
OpenAlexW2792517751

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.