Evidence map›Paper›PMID 31845257›Full record

ArticleEnvironmental science and pollution research international2020

Assessment of water quality of best water management practices in lake adjacent to the high-latitude agricultural areas, China.

Xuemei Liu, Guangxin Zhang, Y Jun Xu, Yao Wu, Yan Liu, Haibo Zhang

Open access · greenAbstract read
PubMed Publisher
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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.8field-weighted citation impact, top 18% 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

2 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Simulation study on the migration of FEnvironmental 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 at 3 institutions in 2 countries.

Xuemei LiuNortheast Institute of Geography and Agroecology, Chinese Academy of Sciences, The High-tech North District, 4888 Sheng Bei Street, Changchun, 130102, People's Republic of China.
Guangxin ZhangNortheast Institute of Geography and Agroecology, Chinese Academy of Sciences, The High-tech North District, 4888 Sheng Bei Street, Changchun, 130102, People's Republic of China. zhgx@iga.ac.cn.
Y Jun XuSchool of Renewable Natural Resources, Louisiana State University Agricultural Center, 227 Highland Road, Baton Rouge, LA, 70803, USA.
Yao WuNortheast Institute of Geography and Agroecology, Chinese Academy of Sciences, The High-tech North District, 4888 Sheng Bei Street, Changchun, 130102, People's Republic of China.
Yan LiuSongyuan Branch, Hydrology and Water Resources Bureau of Jilin Province, Songyuan, Jilin, 138000, China.
Haibo ZhangSongyuan Branch, Hydrology and Water Resources Bureau of Jilin Province, Songyuan, Jilin, 138000, China.
Northeast Institute of Geography and Agroecology · CNChinese Academy of Sciences · CNLouisiana State University Agricultural Center · US

Funding

National Key R&D Program of China 2017YFC0406003National Natural Science Foundation of China 41877160
6 · The paper itself

Abstract

A major inland alkalinity lake in Northeast China, the Chagan Lake, was studied for the changes of its water qualities over the past three decades. Water quality data, including total nitrogen (TN), total phosphorus (TP), pH, dissolved oxygen (DO), and fluoride (F

Indexed as

AgricultureWater Pollutants, ChemicalChinaEnvironmental MonitoringEutrophicationLakesNitrogenPhosphorusWaterWater PollutionWater QualityWater SupplyNitrogenPhosphorusWaterWater Pollutants, ChemicalChagan LakeEutrophicationPollutionWater quality management

Identifiers

PMID31845257
OpenAlexW2995619701

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.