Evidence map›Paper›PMID 31776907›Full record

ArticleEnvironmental science and pollution research international2020

Distribution, residue level, sources, and phase partition of antibiotics in surface sediments from the inland river: a case study of the Xiangjiang River, south-central China.

Leilei Chen, Haipu Li, Yang Liu, Yue Cui, Yue Li, Zhaoguang Yang

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2020. 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
–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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Effect of g-CEcotoxicology (London, England) · 2022
    Article
  6. Article
  7. Article
  8. Article
  9. Photochemical degradation kinetics and mechanisms of norfloxacin and oxytetracycline.Environmental science and pollution research international · 2021
    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

6 authors.

Leilei ChenCollege of Chemistry and Chemical Engineering, Central South University, Changsha, 410083, People's Republic of China.
Haipu LiCollege of Chemistry and Chemical Engineering, Central South University, Changsha, 410083, People's Republic of China. lihaipu@csu.edu.cn.ORCID http://orcid.org/0000-0003-2028-4154
Yang LiuCollege of Chemistry and Chemical Engineering, Central South University, Changsha, 410083, People's Republic of China.
Yue CuiHydrology and Water Resource Bureau of Hunan Province, Changsha, 410083, People's Republic of China.
Yue LiCollege of Chemistry and Chemical Engineering, Central South University, Changsha, 410083, People's Republic of China.
Zhaoguang YangCollege of Chemistry and Chemical Engineering, Central South University, Changsha, 410083, People's Republic of China. zgyang@csu.edu.cn.

Funding

Science & Technology Project of Hunan Province No. 2017WK2091Special Fund for Agro-scientific Research in the Public Interest of China No. 201503108
6 · The paper itself

Abstract

In view of the increasing attention on antibiotic contamination and their scarce data in the inland river (especially for the sediment), the occurrence of 28 antibiotics in sediments from the Xiangjiang River was comprehensively analyzed, and 22 antibiotics were detected with a total concentration ranging from 4.07 to 2090 ng g

Indexed as

RiversWater Pollutants, ChemicalAnti-Bacterial AgentsChinaEnvironmental MonitoringFluoroquinolonesGeologic SedimentsTetracyclineAnti-Bacterial AgentsFluoroquinolonesTetracyclineWater Pollutants, ChemicalAntibioticsPhase partitionRedundancy analysisSedimentSources analysisSpatiotemporal distribution

Identifiers

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.