Evidence map›Paper›PMID 32993190›Full record

ArticleMetabolites2020

5-CQA and Mangiferin, Two Leaf Biomarkers of Adaptation to Full Sun or Shade Conditions in

Teerarat Duangsodsri, Luc Villain, Ialy Rojo Vestalys, Serge Michalet, Cécile Abdallah, Jean-Christophe Breitler, Mélanie Bordeaux, Andres Mauricio Villegas, Marson Raherimandimby, Laurent Legendre and 3 more

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Prospects of Coffee Leaf against SARS-CoV-2 Infection.International journal of biological sciences · 2022
    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

13 authors at 3 institutions in 3 countries.

Teerarat DuangsodsriIRD, CIRAD, Univ. Montpellier, IPME, F-34394 Montpellier, France.
Luc VillainIPME, Univ. Montpellier, IRD, CIRAD, F-34394 Montpellier, France.ORCID 0000-0002-9113-2927
Ialy Rojo VestalysIRD, CIRAD, Univ. Montpellier, IPME, F-34394 Montpellier, France.
Serge MichaletCNRS UMR 5557, Univ. Lyon 1 & INRA UMR 1418, Université de Lyon, F-69622 Villeurbanne, France.ORCID 0000-0001-8393-3639
Cécile AbdallahIRD, CIRAD, Univ. Montpellier, IPME, F-34394 Montpellier, France.
Jean-Christophe BreitlerIPME, Univ. Montpellier, IRD, CIRAD, F-34394 Montpellier, France.ORCID 0000-0001-7808-9330
Mélanie BordeauxFondation NicaFrance, Managua, Nicaragua.
Andres Mauricio VillegasCalle 15, 9-18 Conjunto Mirador de las Lomas, Villamaría 175008, Caldas, Colombia.
Marson RaherimandimbyFaculté des Sciences, Université d'Antananarivo, BP-566, Antananarivo 101, Madagascar.
Laurent LegendreCNRS UMR 5557, Univ. Lyon 1 & INRA UMR 1418, Université de Lyon, F-69622 Villeurbanne, France.
Hervé EtienneIPME, Univ. Montpellier, IRD, CIRAD, F-34394 Montpellier, France.ORCID 0000-0002-6208-9982
Benoît BertrandIPME, Univ. Montpellier, IRD, CIRAD, F-34394 Montpellier, France.
Claudine CampaIRD, CIRAD, Univ. Montpellier, IPME, F-34394 Montpellier, France.ORCID 0000-0002-5435-9372
Centre de Coopération Internationale en Recherche Agronomique pour le Développement · FRUniversité Claude Bernard Lyon 1 · FRUniversity of Antananarivo · MG

Funding

H2020 Environment 727934
6 · The paper itself

Abstract

Phenolic compounds are involved in plant response to environmental conditions and are highly present in leaves of

Indexed as

adaptive responsebiomarkersCoffea arabica L.full-sun conditionslight responsephenolic compounds

Identifiers

PMID32993190
PMCPMC7599603
OpenAlexW3087799194

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.