Article in MycoKeys, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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.
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
10 authors.
Yanliu ChenResearch Institute of Tropical Forestry, Chinese Academy of Forestry, Guangzhou 510520, China Research Institute of Tropical Forestry, Chinese Academy of Forestry Guangzhou China.ORCID https://orcid.org/0000-0002-8054-2517
Bin ChenResearch Institute of Tropical Forestry, Chinese Academy of Forestry, Guangzhou 510520, China Research Institute of Tropical Forestry, Chinese Academy of Forestry Guangzhou China.ORCID https://orcid.org/0000-0001-8459-3752
Ruoxi LiangHonors College, Northwestern Polytechnical University, Xi'an, 710129, China Northwestern Polytechnical University Xi'an China.
Shengkun WangResearch Institute of Tropical Forestry, Chinese Academy of Forestry, Guangzhou 510520, China Research Institute of Tropical Forestry, Chinese Academy of Forestry Guangzhou China.ORCID https://orcid.org/0000-0002-2487-6344
Mengya AnResearch Institute of Tropical Forestry, Chinese Academy of Forestry, Guangzhou 510520, China Research Institute of Tropical Forestry, Chinese Academy of Forestry Guangzhou China.ORCID https://orcid.org/0009-0001-6170-5886
Jinhua ZhangResearch Institute of Tropical Forestry, Chinese Academy of Forestry, Guangzhou 510520, China Research Institute of Tropical Forestry, Chinese Academy of Forestry Guangzhou China.ORCID https://orcid.org/0000-0001-8523-644X
Jingying LiangLongyandong Forest Farm of Guangdong Province, Guangzhou 510520, China Longyandong Forest Farm of Guangdong Province Guangzhou China.ORCID https://orcid.org/0000-0003-4111-4859
Yaxin WangResearch Institute of Tropical Forestry, Chinese Academy of Forestry, Guangzhou 510520, China Research Institute of Tropical Forestry, Chinese Academy of Forestry Guangzhou China.ORCID https://orcid.org/0009-0002-1302-5154
Xuelian GaoResearch Institute of Tropical Forestry, Chinese Academy of Forestry, Guangzhou 510520, China Research Institute of Tropical Forestry, Chinese Academy of Forestry Guangzhou China.ORCID https://orcid.org/0009-0006-6059-4877
Junfeng LiangResearch Institute of Tropical Forestry, Chinese Academy of Forestry, Guangzhou 510520, China Research Institute of Tropical Forestry, Chinese Academy of Forestry Guangzhou China.ORCID https://orcid.org/0000-0002-0433-2577
Funding
No grant is acknowledged in the PubMed record.
6 · The paper itself
Abstract
Four new species of Russulasubsect.Cyanoxanthinae, viz.
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.
Four new species of Russulasubsect.Cyanoxanthinae from China (Russulales, Russulaceae). · full record | OpenQuestion