Article in Biodiversity data journal, 2021. 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
0.8field-weighted citation impact, top 26% 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, 9 citations in OpenAlex.
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 5 institutions in 4 countries.
Marion JavalCentre for Invasion Biology, Department of Conservation Ecology & Entomology, Faculty of AgriSciences, Stellenbosch University, Stellenbosch, South Africa Centre for Invasion Biology, Department of Conservation Ecology & Entomology, Faculty of AgriSciences, Stellenbosch University Stellenbosch South Africa.ORCID https://orcid.org/0000-0001-7878-2936
John S TerblancheCentre for Invasion Biology, Department of Conservation Ecology & Entomology, Faculty of AgriSciences, Stellenbosch University, Stellenbosch, South Africa Centre for Invasion Biology, Department of Conservation Ecology & Entomology, Faculty of AgriSciences, Stellenbosch University Stellenbosch South Africa.ORCID https://orcid.org/0000-0001-9665-9405
Desmond E ConlongSouth African Sugarcane Research Institute, Mount Edgecombe, South Africa South African Sugarcane Research Institute Mount Edgecombe South Africa.
Norbert DelahayeUnaffiliated, Plaisir, France Unaffiliated Plaisir France.
Elizabeth GrobbelaarBiosystematics Division, ARC-Plant Protection Research Institute, Private Bag X134, Queenswood, Pretoria, South Africa Biosystematics Division, ARC-Plant Protection Research Institute, Private Bag X134, Queenswood Pretoria South Africa.
Julien M HaranCBGP, Cirad, Montpellier SupAgro, INRA, IRD, Univ. Montpellier, Montpellier, France CBGP, Cirad, Montpellier SupAgro, INRA, IRD, Univ. Montpellier Montpellier France.
Stellenbosch University · ZACentre de Coopération Internationale en Recherche Agronomique pour le Développement · FRAgricultural Research Council of South Africa · ZAUniversidade de Marília · BRUniversité de Tours · FR
Funding
No grant is acknowledged in the PubMed record.
6 · The paper itself
Abstract
DNA barcoding has been succesfully used for bio-surveillance of forest and agricultural pests in temperate areas, but has few applications in the tropics and particulary in Africa.
Indexed as
AfricaBarcode Index Number (BIN)beetlesbiodiversitybiomonitoringBOLDCacosceles newmanniiGaboninvasion biologyMadagascarRepublic of the CongoSouth Africasugarcane.
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.
DNA barcoding for bio-surveillance of emerging pests and species identification in Afrotropical Prioninae (Coleoptera, Cerambycidae). · full record | OpenQuestion