Evidence map›Paper›PMID 29732512›Full record

ArticleEnvironmental science and pollution research international2018

Trace elements concentration and distributions in coal and coal mining wastes and their environmental and health impacts in Shaanxi, China.

Rahib Hussain, Kunli Luo, Zhao Chao, Zhao Xiaofeng

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental science and pollution research international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.1field-weighted citation impact, top 7% of its field
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

9 citing papers in PubMed, 40 citations in OpenAlex.

  1. Development overview of paste backfill technology in China's coal mines: a review.Environmental science and pollution research international · 2021
    Review
  2. Article
  3. Article
  4. Article
  5. Environmental Risk Assessment of Metals in the Volcanic Soil of Changbai Mountain.International journal of environmental research and public health · 2019
    Article
  6. Article
  7. Article
  8. Article
  9. 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

4 authors at 1 institution in 1 country.

Rahib HussainInstitute of Geographic Sciences and Natural Resource Research, Beijing, 100101, China.
Kunli LuoInstitute of Geographic Sciences and Natural Resource Research, Beijing, 100101, China. luokl@igsnrr.ac.cn.
Zhao ChaoInstitute of Geographic Sciences and Natural Resource Research, Beijing, 100101, China.
Zhao XiaofengInstitute of Geographic Sciences and Natural Resource Research, Beijing, 100101, China.
Institute of Geographic Sciences and Natural Resources Research · CN

Funding

National Basic Research Program of China, National Natural Science Foundation of China and CAS-TWAS fellowship 2014CB238906, 41172310 and 41472322
6 · The paper itself

Abstract

This study probe the probable impacts of coal mining pollution and its impacts on human's health and environment. A total of 144 samples including coal and coal wastes, soil, plants, foods, and water were collected from the Hancheng county and countryside of Shaanxi, China. All the samples were analyzed for trace elements using ICP-MS, OES, and AFS. Results showed that the concentration of Se, As, Cr, Cu, Pb, Cd, Co, Ni, Mo, U, Th (mgKg

Indexed as

Coal MiningAdultChildChinaCoalEnvironmental MonitoringEnvironmental PollutantsGroundwaterHumansIndustrial WasteMetals, HeavyRisk AssessmentSoilTrace ElementsCoalEnvironmental PollutantsIndustrial WasteMetals, HeavySoilTrace ElementsCoalCoal mining wastesEnvironmental riskGeochemical charactersHealth risk assessmentPollution

Identifiers

PMID29732512
OpenAlexW2799380985

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.