Article in Plants (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing 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.
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
11 authors.
Domenico RizzoLaboratory of Phytopathological Diagnostics and Molecular Biology, Tuscany Regional Plant Health Service, Via Ciliegiole 99, 51100 Pistoia, Italy.
Matteo BracaliniDepartment of Agricultural, Food, Environmental and Forestry Science and Technology (DAGRI), University of Florence, Piazzale delle Cascine 28, 50144 Florence, Italy.ORCID 0000-0002-0402-8604
Sara CampigliDepartment of Agricultural, Food, Environmental and Forestry Science and Technology (DAGRI), University of Florence, Piazzale delle Cascine 28, 50144 Florence, Italy.ORCID 0000-0001-7231-535X
Anita NencioniDepartment of Agricultural, Food, Environmental and Forestry Science and Technology (DAGRI), University of Florence, Piazzale delle Cascine 28, 50144 Florence, Italy.ORCID 0000-0003-1585-0529
Francesco PorcelliDepartment of Soil Sciences, of Plants and Food (Di.S.S.P.A), University of Bari Aldo Moro, 70121 Bari, Italy.ORCID 0000-0001-5620-7826
Guido MarchiDepartment of Agricultural, Food, Environmental and Forestry Science and Technology (DAGRI), University of Florence, Piazzale delle Cascine 28, 50144 Florence, Italy.ORCID 0000-0002-2937-3500
Daniele Da LioDepartment of Agriculture, Food and Environment (DAFE), University of Pisa, Via del Borghetto, 80, 56124 Pisa, Italy.ORCID 0000-0002-9222-9501
Linda BartoliniLaboratory of Phytopathological Diagnostics and Molecular Biology, Tuscany Regional Plant Health Service, Via Ciliegiole 99, 51100 Pistoia, Italy.
Elisabetta RossiDepartment of Agriculture, Food and Environment (DAFE), University of Pisa, Via del Borghetto, 80, 56124 Pisa, Italy.
Patrizia SacchettiDepartment of Agricultural, Food, Environmental and Forestry Science and Technology (DAGRI), University of Florence, Piazzale delle Cascine 28, 50144 Florence, Italy.ORCID 0000-0002-7006-8516
Tiziana PanzavoltaDepartment of Agricultural, Food, Environmental and Forestry Science and Technology (DAGRI), University of Florence, Piazzale delle Cascine 28, 50144 Florence, Italy.ORCID 0000-0002-8985-3071
Funding
Ente Cassa di Risparmio di FirenzeRegione Toscana
6 · The paper itself
Abstract
The use of molecular tools to identify insect pests is a critical issue, especially when rapid and reliable tests are required. We proposed a protocol based on qPCR with SYBR Green technology to identify
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.
Quantitative Real-Time PCR Based on SYBR Green Technology for the Identification of · full record | OpenQuestion