In one paragraphArticle in MycoKeys, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
6 authors.
Le-Le WanState Key Laboratory of Efficient Production of Forest Resources, School of Ecology and Nature Conservation, Beijing Forestry University, Beijing 100083, China State Key Laboratory of Efficient Production of Forest Resources, School of Ecology and Nature Conservation, Beijing Forestry University Beijing China https://ror.org/04xv2pc41.ORCID https://orcid.org/0009-0002-9625-0962 Lan-Shuo ZhangState Key Laboratory of Efficient Production of Forest Resources, School of Ecology and Nature Conservation, Beijing Forestry University, Beijing 100083, China State Key Laboratory of Efficient Production of Forest Resources, School of Ecology and Nature Conservation, Beijing Forestry University Beijing China https://ror.org/04xv2pc41.ORCID https://orcid.org/0009-0002-1832-4516 Jun-Hong DongState Key Laboratory of Efficient Production of Forest Resources, School of Ecology and Nature Conservation, Beijing Forestry University, Beijing 100083, China State Key Laboratory of Efficient Production of Forest Resources, School of Ecology and Nature Conservation, Beijing Forestry University Beijing China https://ror.org/04xv2pc41.ORCID https://orcid.org/0000-0001-8740-0805 Long ZengState Key Laboratory of Efficient Production of Forest Resources, School of Ecology and Nature Conservation, Beijing Forestry University, Beijing 100083, China State Key Laboratory of Efficient Production of Forest Resources, School of Ecology and Nature Conservation, Beijing Forestry University Beijing China https://ror.org/04xv2pc41.ORCID https://orcid.org/0009-0004-0124-459X Shun LiuState Key Laboratory of Efficient Production of Forest Resources, School of Ecology and Nature Conservation, Beijing Forestry University, Beijing 100083, China State Key Laboratory of Efficient Production of Forest Resources, School of Ecology and Nature Conservation, Beijing Forestry University Beijing China https://ror.org/04xv2pc41.ORCID https://orcid.org/0000-0001-9261-4365 Bao-Kai CuiState Key Laboratory of Efficient Production of Forest Resources, School of Ecology and Nature Conservation, Beijing Forestry University, Beijing 100083, China State Key Laboratory of Efficient Production of Forest Resources, School of Ecology and Nature Conservation, Beijing Forestry University Beijing China https://ror.org/04xv2pc41.ORCID https://orcid.org/0000-0003-3059-9344 Funding
No grant is acknowledged in the PubMed record.
6 · The paper itselfAbstract
Wood-inhabiting fungi are key decomposers in forest ecosystems, but the diversity of corticioid fungi in the Qinling Mountains remains insufficiently explored. During surveys of macrofungi in Zhashui County and Shangzhou District in the Qinling Mountains, several specimens representing three undescribed taxa of corticioid fungi were collected. Based on detailed morphological examinations and phylogenetic analyses of combined ITS+nLSU datasets by using Maximum Likelihood and Bayesian Inference methods, three new species, viz.
Indexed as
Macrofungimolecular phylogenynew taxaQinling Mountainstaxonomy
Identifiers
PMID42582694
PMCPMC13458435
What OpenQuestion holds
Textmetadata
LicenceCC BY
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