Evidence map›Paper›PMID 30446973›Full record

ArticleWorld journal of microbiology & biotechnology2018

Isolation and characterization of aerobic, culturable, arsenic-tolerant bacteria from lead-zinc mine tailing in southern China.

Dan Wu, Zhipeng Zhang, Qinglong Gao, Yuchao Ma

Abstract read
PubMed Publisher
In one paragraph

Article in World journal of microbiology & biotechnology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Identification of a New Heavy-Metal-Resistant Strain ofInternational journal of environmental research and public health · 2020
    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.

Dan WuCollege of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing, 100083, People's Republic of China.
Zhipeng ZhangCollege of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing, 100083, People's Republic of China.
Qinglong GaoCollege of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing, 100083, People's Republic of China.
Yuchao MaCollege of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing, 100083, People's Republic of China. mayuchao@bjfu.edu.cn.
Beijing Forestry University · CN

Funding

the Beijing Nova Program 2011033the Fundamental Research Funds for the Central Universities 2016JX03the Fundamental Research Funds for the Central Universities YX2014-15the National Natural Science Foundation of China J1310005the National Science and Technology Ministry 2012BAC09B03
6 · The paper itself

Abstract

Bioremediation of arsenic (As) pollution is an important environmental issue. The present investigation was carried out to isolate As-resistant novel bacteria and characterize their As transformation and tolerance ability. A total of 170 As-resistant bacteria were isolated from As-contaminated soils at the Kangjiawan lead-zinc tailing mine, located in Hunan Province, southern China. Thirteen As-resistant isolates were screened by exposure to 260 mM Na

Indexed as

Drug TolerancePhylogenyArsenatesArsenicArsenitesBacteria, AerobicBiodegradation, EnvironmentalChinaDrug Resistance, BacterialGenes, BacterialMetals, HeavyMicrobial Sensitivity TestsRNA, Ribosomal, 16SSequence AnalysisSoil MicrobiologySoil PollutantsArsenatesArsenicArsenitesMetals, HeavyRNA, Ribosomal, 16Ssodium arsenateSoil PollutantsZinc16S rRNA analysisAs pollutionAs-resistant bacteriaOxidationReduction

Identifiers

PMID30446973
OpenAlexW2900594768

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.