Evidence map›Paper›PMID 25989856›Full record

ArticleEnvironmental science and pollution research international2017

Risk analysis on heavy metal contamination in sediments of rivers flowing into Nansi Lake.

Qingqing Cao, Ying Song, Yiran Zhang, Renqing Wang, Jian Liu

Abstract read
PubMed Publisher
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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Assessment of heavy metal content, distribution, and sources in Nansi Lake sediments, China.Environmental science and pollution research international · 2021
    Article
  3. Article
  4. Article
  5. 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

5 authors.

Qingqing CaoInstitute of Environmental Research, Shandong University, Jinan, 250100, China.
Ying SongInstitute of Environmental Research, Shandong University, Jinan, 250100, China.
Yiran ZhangInstitute of Environmental Research, Shandong University, Jinan, 250100, China.
Renqing WangInstitute of Environmental Research, Shandong University, Jinan, 250100, China.
Jian LiuInstitute of Environmental Research, Shandong University, Jinan, 250100, China. ecology@sdu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to understand the risk of heavy metals in sediments of the rivers flowing into Nansi Lake, 36 surface sediments were sampled from six rivers and seven heavy metals (Cr, Cu, Ni, Zn, As, Pb, and Cd) were determined. Potential ecological risk index (RI) of the six rivers showed significant differences: Xinxue River, Jiehe River, and Guangfu River were at medium potential risk, whereas the risk of Chengguo River was the lowest. Jiehe River, Xuesha River, and Jiangji River were meeting the medium potential risk at river mouths. Geo-accumulation index (I

Indexed as

ChinaCluster AnalysisEnvironmental MonitoringGeologic SedimentsLakesMetals, HeavyRisk AssessmentRiversWater Pollutants, ChemicalWater QualityMetals, HeavyWater Pollutants, ChemicalEcological riskGeo-accumulation indexHeavy metalsNansi LakeRiver sediments

Identifiers

PMID25989856

What OpenQuestion holds

Textmetadata
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.