Evidence map›Paper›PMID 28674924›Full record

ReviewWorld journal of microbiology & biotechnology2017

Engineering application of anaerobic ammonium oxidation process in wastewater treatment.

Nianjia Mao, Hongqiang Ren, Jinju Geng, Lili Ding, Ke Xu

Abstract readReview
PubMed Publisher
In one paragraph

Review in World journal of microbiology & biotechnology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Application of the Anammox in China-A Review.International journal of environmental research and public health · 2020
    Review
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.

Nianjia MaoState Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, No. 163, Xianlin Avenue, Qixia District, Nanjing, 210023, Jiangsu, People's Republic of China.
Hongqiang RenState Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, No. 163, Xianlin Avenue, Qixia District, Nanjing, 210023, Jiangsu, People's Republic of China.
Jinju GengState Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, No. 163, Xianlin Avenue, Qixia District, Nanjing, 210023, Jiangsu, People's Republic of China.
Lili DingState Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, No. 163, Xianlin Avenue, Qixia District, Nanjing, 210023, Jiangsu, People's Republic of China.
Ke XuState Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, No. 163, Xianlin Avenue, Qixia District, Nanjing, 210023, Jiangsu, People's Republic of China. kexu@nju.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anaerobic ammonium oxidation (Anammox), a promising biological nitrogen removal process, has been verified as an efficient, sustainable and cost-effective alternative to conventional nitrification and denitrification processes. To date, more than 110 full-scale anammox plants have been installed and are in operation, treating industrial NH

Indexed as

AnaerobiosisEngineeringAmmonium CompoundsBacteriaBioreactorsDenitrificationGreenhouse GasesNitrificationNitrogenOxidation-ReductionSewageWastewaterWater PurificationAmmonium CompoundsGreenhouse GasesNitrogenSewageWastewaterAnammoxControl strategiesMainstream anammoxMunicipal sewage treatmentNitrogen removalPartial nitrification

Identifiers

PMID28674924

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.