ArticleScientific data2022
A dataset of diversity and distribution of rodents and shrews in China.
Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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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.
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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.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Anaplasma Phagocytophilum, a Zoonotic Vector-Borne Bacterial Species in Rodents and Its Associated Tick Vector: Systematic Review.Veterinary medicine and science · 2025Pooled it
- Article
- Insights Into Tribal-Level Adaptive Evolution and Phylogeny in Soricinae From Mitogenome of the Chinese EndemicEcology and evolution · 2026Article
- Infectome Landscape of Rodents and Shrews in Guangdong Province Reveals Diverse Pathogens with Zoonotic Potential in Wildlife.Viruses · 2026Article
- Metatranscriptomics profiling reveals rodent- and shrew-borne viral diversity and evolutionary relationships in Guangzhou, China.Virologica Sinica · 2026Article
- Unveiling the RNA viral diversity in three organs of the Asian house shrew (Frontiers in microbiology · 2026Article
- Human-animal interfaces and zoonotic disease risks in China: a review of contact behaviors and risk communication.Science in One Health · 2026Review
- Emergence of zoonoticFrontiers in microbiology · 2026Article
- Virome characterization of field-collected rodents in suburban city.NPJ biofilms and microbiomes · 2025Article
- Cryptosporidium spp. in wild rodents in the Poyang Lake region, China.Parasite (Paris, France) · 2025Article
- Small mammals and associated infections in China: a systematic review and spatial modelling analysis.The Lancet regional health. Western Pacific · 2025Article
- Decoding the RNA viromes in shrew lungs along the eastern coast of China.NPJ biofilms and microbiomes · 2024Article
- Molecular investigation of Blastocystis sp. infections in wild rodents from the Inner Mongolian Autonomous Region and Liaoning province, China: High prevalence and dominance of ST4.Parasite (Paris, France) · 2024Article
- Zoonotic pathogens identified in rodents and shrews from four provinces, China, 2015-2022.Epidemiology and infection · 2023Article
- Shrews Under-Represented in Fruit Farms and Homesteads.Animals : an open access journal from MDPI · 2023Article
- A dataset of diversity and distribution of rodents and shrews in China.Scientific data · 2022Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The rodents and shrews are important reservoirs for a large number of zoonotic pathogens. Here by performing a literature review, we determined the occurrence and distribution of rodents and shrews in China at three scales including province, city, and county levels. The peer-reviewed papers published in English and Chinese were collected, standard procedures were applied in reference books, field surveys and websites to remove duplicates, and information on recorded locations of rodents and shrews was extracted. The dataset contains 13,911 records of geo-referenced occurrences for 364 rodents and shrews distributed over 1,663 locations distinguished. As pathogens continue to emerge from rodents and shrews, this dataset could assist efforts to put preliminary bounds around a variety of spatial analyses of rodents and shrews, facilitate a better understanding of the transmission risk of the pathogens they carry, and be helpful for assessing the risk of future emergence of rodent-borne zoonoses.
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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 Socratic graph.