Evidence map›Paper›PMID 32138197›Full record

ArticleMolecules (Basel, Switzerland)2020

Identification and Characterization of Cannabimovone, a Cannabinoid from

Fabio Arturo Iannotti, Fabrizia De Maio, Elisabetta Panza, Giovanni Appendino, Orazio Taglialatela-Scafati, Luciano De Petrocellis, Pietro Amodeo, Rosa Maria Vitale

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

16 citing papers in PubMed, 28 citations in OpenAlex.

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  7. Frontiers in pharmacology · 2023
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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

8 authors at 4 institutions in 1 country.

Fabio Arturo IannottiInstitute of Biomolecular Chemistry (ICB), National Research Council (CNR), 80078 IT Pozzuoli (NA), Italy.
Fabrizia De MaioInstitute of Biomolecular Chemistry (ICB), National Research Council (CNR), 80078 IT Pozzuoli (NA), Italy.
Elisabetta PanzaDepartment of Pharmacy, University of Naples "Federico II", Via D. Montesano 49, I-80131 Napoli, Italy.
Giovanni AppendinoDipartimento di Scienze del Farmaco, Università del Piemonte Orientale, Largo Donegani 2, 28100 Novara, Italy.
Orazio Taglialatela-ScafatiDepartment of Pharmacy, University of Naples "Federico II", Via D. Montesano 49, I-80131 Napoli, Italy.
Luciano De PetrocellisInstitute of Biomolecular Chemistry (ICB), National Research Council (CNR), 80078 IT Pozzuoli (NA), Italy.
Pietro AmodeoInstitute of Biomolecular Chemistry (ICB), National Research Council (CNR), 80078 IT Pozzuoli (NA), Italy.
Rosa Maria VitaleInstitute of Biomolecular Chemistry (ICB), National Research Council (CNR), 80078 IT Pozzuoli (NA), Italy.
Istituto di Chimica Biomolecolare · ITNational Research Council · ITUniversity of Naples Federico II · ITUniversità degli Studi del Piemonte Orientale “Amedeo Avogadro” · IT

Funding

Ministero dell'Istruzione, dell'Università e della Ricerca WN73PL
6 · The paper itself

Abstract

Phytocannabinoids (pCBs) are a large family of meroterpenoids isolated from the plant

Indexed as

3T3-L1 CellsAnimalsCannabinoidsCannabisEnergy MetabolismHydrogen-Ion ConcentrationInsulin ResistanceMiceMolecular Docking SimulationMolecular Dynamics SimulationMolecular StructurePhosphorylationPPAR gammaProto-Oncogene Proteins c-aktCannabinoidsPPAR gammaProto-Oncogene Proteins c-aktmolecular docking, molecular dynamics, insulin resistanceperoxisome proliferator-activated receptor gamma (PPARγ)phytocannabinoids, cannabimovone (CBM)

Identifiers

PMID32138197
PMCPMC7179127
OpenAlexW3010098996

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.