Evidence map›Paper›PMID 27834050›Full record

ArticleEnvironmental science and pollution research international2017

Occurrence and risk assessment of heavy metals in sediments of the Xiangjiang River, China.

Jinjun Liu, Youze Xu, Yingxiang Cheng, Yuanyuan Zhao, Yanan Pan, Guangyi Fu, Youzhi Dai

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. NTA-assisted mineral element and lead transportation in Eremochloa ophiuroides (Munro) Hack.Environmental science and pollution research international · 2022
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Systematic Assessment of Health Risk from Metals in Surface Sediment of the Xiangjiang River, China.International journal of environmental research and public health · 2020
    Article
  12. 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

7 authors.

Jinjun LiuCollege of Environment and Resource, Xiangtan University, Xiangtan, 411105, China.
Youze XuHunan Research Academy of Environmental Science, Changsha, 410004, China.
Yingxiang ChengHunan Research Academy of Environmental Science, Changsha, 410004, China.
Yuanyuan ZhaoHunan Research Academy of Environmental Science, Changsha, 410004, China.
Yanan PanHunan Research Academy of Environmental Science, Changsha, 410004, China.
Guangyi FuHunan Research Academy of Environmental Science, Changsha, 410004, China.
Youzhi DaiCollege of Environment and Resource, Xiangtan University, Xiangtan, 411105, China. 393756597@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sediment samples were collected from 22 typical metal-polluted sections along the Xiangjiang River (XJR). Spatial distribution and speciation characteristics of heavy metals in sediments of XJR were determined. Furthermore, ecological risk and enrichment degree of metals were assessed by different indices. The results showed that combined metal pollution occurred in sediments of XJR, with content range of Cd, Pb, Zn, Cu, As, Mn, Cr, and Hg reaching 2.95-29.15, 30.93-235.83, 61.50-3771.11, 9.56-81.81, 3.93-46.28, 774.83-8700.72, 10.64-65.16, and 0.13-5.09 mg kg

Indexed as

Risk AssessmentChinaEcologyEnvironmental MonitoringEnvironmental PollutionGeologic SedimentsMercuryMetals, HeavyRiversWater Pollutants, ChemicalMercuryMetals, HeavyWater Pollutants, ChemicalDistributionHeavy metalsRisk assessmentSedimentsXiangjiang River

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Registered trials

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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.