ArticlePeerJ2018
COI barcoding of plant bugs (Insecta: Hemiptera: Miridae).
Article in PeerJ, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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.
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.
Who cites it
6 citing papers in PubMed.
- Article
- Identification of BOLD engine deficiencies and suggestions for improvement based on a curated Tachina (Diptera) record set.PloS one · 2025Article
- Delimitation of the widely distributed PalearcticZooKeys · 2024Article
- Integrative Taxonomy of the Spinous Assassin Bug GenusInsects · 2021Article
- Efficient COI barcoding using high throughput single-end 400 bp sequencing.BMC genomics · 2020Article
- A simple PCR-based method for the rapid and accurate identification of spider mites (Tetranychidae) on cassava.Scientific reports · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The family Miridae is the most diverse and one of the most economically important groups in Heteroptera. However, identification of mirid species on the basis of morphology is difficult and time-consuming. In the present study, we evaluated the effectiveness of COI barcoding for 123 species of plant bugs in seven subfamilies. With the exception of three
Indexed as
Identifiers
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Registered trials
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.