Evidence map›Paper›PMID 31819118›Full record

ArticleScientific reports2019

Imaging Salt Uptake Dynamics in Plants Using PET.

Gerard Ariño-Estrada, Gregory S Mitchell, Prasenjit Saha, Ahmad Arzani, Simon R Cherry, Eduardo Blumwald, Andre Z Kyme

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
4.7field-weighted citation impact, top 6% 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

10 citing papers in PubMed, 27 citations in OpenAlex.

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  8. Advances in Preclinical PET.Seminars in nuclear medicine · 2022
    Review
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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 3 institutions in 3 countries.

Gerard Ariño-EstradaDepartment of Biomedical Engineering, University of California Davis, Davis, CA, USA. garino@ucdavis.edu.ORCID http://orcid.org/0000-0002-6411-191X
Gregory S MitchellDepartment of Biomedical Engineering, University of California Davis, Davis, CA, USA.
Prasenjit SahaCalyxt, Inc., Roseville, MN, USA.
Ahmad ArzaniDeparment of Plant Sciences, University of California Davis, Davis, CA, USA.ORCID http://orcid.org/0000-0001-5297-6724
Simon R CherryDepartment of Biomedical Engineering, University of California Davis, Davis, CA, USA.
Eduardo BlumwaldDeparment of Plant Sciences, University of California Davis, Davis, CA, USA.ORCID http://orcid.org/0000-0002-6449-6469
Andre Z KymeSchool of Biomedical Engineering, Faculty of Engineering & IT, University of Sydney, Sydney, Australia. andre.kyme@sydney.edu.au.
University of California, Davis · USIsfahan University of Technology · IRThe University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soil salinity is a global environmental challenge for crop production. Understanding the uptake and transport properties of salt in plants is crucial to evaluate their potential for growth in high salinity soils and as a basis for engineering varieties with increased salt tolerance. Positron emission tomography (PET), traditionally used in medical and animal imaging applications for assessing and quantifying the dynamic bio-distribution of molecular species, has the potential to provide useful measurements of salt transport dynamics in an intact plant. Here we report on the feasibility of studying the dynamic transport of

Indexed as

SalinitySalt ToleranceBiological TransportGene Expression Regulation, PlantGenotypeIonsPlant ProteinsPositron-Emission TomographySetaria PlantSodiumSodium IsotopesSoilStress, PhysiologicalIonsPlant ProteinsSodiumSodium IsotopesSoil

Identifiers

PMID31819118
PMCPMC6901586
OpenAlexW2995340682

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.