Evidence map›Paper›PMID 30225003›Full record

ArticleRoyal Society open science2018

Assessment of tea garden soils at An'xi County in southeast China reveals a mild threat from contamination of potentially harmful elements.

Hai-Lei Cao, Feng-Ying Cai, Wen-Bin Jiao, Cheng Liu, Ning Zhang, Hai-Yuan Qiu, Christopher Rensing, Jian Lü

Abstract read
In one paragraph

Article in Royal Society open science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

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

8 authors.

Hai-Lei CaoFujian Provincial Key Laboratory of Soil Environmental Health and Regulation, College of Resources and Environment, Fujian Agriculture and Forestry University, Fuzhou 350002, People's Republic of China.ORCID 0000-0003-3872-2634
Feng-Ying CaiFujian Provincial Key Laboratory of Soil Environmental Health and Regulation, College of Resources and Environment, Fujian Agriculture and Forestry University, Fuzhou 350002, People's Republic of China.
Wen-Bin JiaoFujian Provincial Key Laboratory of Soil Environmental Health and Regulation, College of Resources and Environment, Fujian Agriculture and Forestry University, Fuzhou 350002, People's Republic of China.
Cheng LiuFujian Provincial Key Laboratory of Soil Environmental Health and Regulation, College of Resources and Environment, Fujian Agriculture and Forestry University, Fuzhou 350002, People's Republic of China.
Ning ZhangFujian Provincial Key Laboratory of Soil Environmental Health and Regulation, College of Resources and Environment, Fujian Agriculture and Forestry University, Fuzhou 350002, People's Republic of China.
Hai-Yuan QiuFujian Monitoring Center of Geological Environment, Fuzhou 350001, People's Republic of China.
Christopher RensingFujian Provincial Key Laboratory of Soil Environmental Health and Regulation, College of Resources and Environment, Fujian Agriculture and Forestry University, Fuzhou 350002, People's Republic of China.ORCID 0000-0002-5012-7953
Jian LüFujian Provincial Key Laboratory of Soil Environmental Health and Regulation, College of Resources and Environment, Fujian Agriculture and Forestry University, Fuzhou 350002, People's Republic of China.ORCID 0000-0002-0015-8380

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An extensive study of the spatial distribution characteristics of potentially harmful elements (PHEs) in tea (

Indexed as

ecological riskpotentially harmful elementssoil qualitytea garden soil

Identifiers

PMID30225003
PMCPMC6124080

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.