Evidence map›Paper›PMID 35885096›Full record

ArticleEntropy (Basel, Switzerland)2022

Quantitative Evaluation and Obstacle Factor Diagnosis of Agricultural Drought Disaster Risk Using Connection Number and Information Entropy.

Yi Cui, Juliang Jin, Xia Bai, Shaowei Ning, Libing Zhang, Chengguo Wu, Yuliang Zhang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Entropy (Basel, Switzerland), 2022. 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
1.1field-weighted citation impact, top 24% 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, 10 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 1 institution in 1 country.

Yi CuiSchool of Civil Engineering, Hefei University of Technology, Hefei 230009, China.
Juliang JinSchool of Civil Engineering, Hefei University of Technology, Hefei 230009, China.
Xia BaiSchool of Civil Engineering, Hefei University of Technology, Hefei 230009, China.
Shaowei NingSchool of Civil Engineering, Hefei University of Technology, Hefei 230009, China.
Libing ZhangSchool of Civil Engineering, Hefei University of Technology, Hefei 230009, China.
Chengguo WuSchool of Civil Engineering, Hefei University of Technology, Hefei 230009, China.
Yuliang ZhangSchool of Civil Engineering, Hefei University of Technology, Hefei 230009, China.
Hefei University of Technology · CN

Funding

Fundamental Research Funds for the Central Universities JZ2021HGTA0165National Natural Science Foundation of China 52109009National Natural Science Foundation of China U2240223Natural Science Foundation of Anhui Province, China 2108085QE254
6 · The paper itself

Abstract

To promote the application of entropy concepts in uncertainty analysis of water resources complex system, a quantitative evaluation and obstacle factor diagnosis model of agricultural drought disaster risk was proposed using connection number and information entropy. The results applied to Suzhou City showed that the agricultural drought disaster risks in Suzhou during 2007-2017 were all in middle-risk status, while it presented a decreasing trend from 2010. The information entropy values of the difference degree item

Indexed as

connection numberdrought disaster risk evaluationevaluation sample informationinformation entropyobstacle factor diagnosisstructural water resources scienceSuzhou City

Identifiers

PMID35885096
PMCPMC9321458
OpenAlexW4283449236

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.