ArticleMolecules (Basel, Switzerland)2017
Predicting the Global Potential Distribution of Four Endangered Panax Species in Middle-and Low-Latitude Regions of China by the Geographic Information System for Global Medicinal Plants (GMPGIS).
Article in Molecules (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed.
- Modeling habitat distribution and niche overlap of Asian horseshoe crabs: Implications for conservation.PloS one · 2025Article
- Prediction of Suitable Habitat Distribution ofJournal of fungi (Basel, Switzerland) · 2023Article
- Current Status and Research Trends of Panax Between 1900-2019: A Bibliometric Analysis.Chinese journal of integrative medicine · 2022Article
- Maximum Entropy Modeling to Predict the Impact of Climate Change on Pine Wilt Disease in China.Frontiers in plant science · 2021Article
- A new GIS model for ecologically suitable distributions of medicinal plants.Chinese medicine · 2019Article
- An Integrated LC-MS-Based Strategy for the Quality Assessment and Discrimination of Three Panax Species.Molecules (Basel, Switzerland) · 2018Article
- Predicting the potential global distribution of diosgenin-containedChinese medicine · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Global biodiversity is strongly influenced by the decrease in endangered biological species. Predicting the distribution of endangered medicinal plants is necessary for resource conservation. A spatial distribution model-geographic information system for global medicinal plants (GMPGIS)-is used to predict the global potential suitable distribution of four endangered
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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.