ArticleJournal of fungi (Basel, Switzerland)2025
Discovery and Identification of Four Novel Species of
Article in Journal of fungi (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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
5 citing papers in PubMed.
- Multi-locus phylogenetic analyses and morphology reveal new species, new records, and taxonomic updates of saprobicIMA fungus · 2026Article
- Three novel aquatic species ofMycoKeys · 2026Article
- Four novel species ofMycoKeys · 2026Article
- Two novel saprobicMycoKeys · 2026Article
- Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Decaying wood, as a unique substrate, which contains cellulose, hemicellulose, lignin, and nitrogen-containing compounds, harbors significant fungal biodiversity, particularly among dematiaceous hyphomycete species. This study uses a combination of morphological and molecular systematics methods. Phylogenetic analyses of ITS, LSU,
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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.