Evidence map›Paper›PMID 33286138›Full record

ArticleEntropy (Basel, Switzerland)2020

Research on the Node Importance of a Weighted Network Based on the

Pingchuan Tang, Chuancheng Song, Weiwei Ding, Junkai Ma, Jun Dong, Liya Huang

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

Article in Entropy (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

6 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Using a Novel Functional Brain Network Approach to Locate Important Nodes for Working Memory Tasks.International journal of environmental research and public health · 2022
    Article
  3. Article
  4. Article
  5. Article
  6. 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 2 institutions in 1 country.

Pingchuan TangCollege of Electronic and Optical Engineering & College of Microelectronics, Nanjing University of Posts and Telecommunications, Nanjing 210023, China.
Chuancheng SongBell Honors School, Nanjing University of Posts and Telecommunications, Nanjing 210023, China.
Weiwei DingCollege of Electronic and Optical Engineering & College of Microelectronics, Nanjing University of Posts and Telecommunications, Nanjing 210023, China.
Junkai MaCollege of Electronic and Optical Engineering & College of Microelectronics, Nanjing University of Posts and Telecommunications, Nanjing 210023, China.
Jun DongInstitute of Intelligent Machines, Hefei Institute of Physical Science Chinese Academy of Sciences, Hefei 230031, China.
Liya HuangCollege of Electronic and Optical Engineering & College of Microelectronics, Nanjing University of Posts and Telecommunications, Nanjing 210023, China.
Nanjing University of Posts and Telecommunications · CNChinese Academy of Sciences · CN

Funding

CERNET Innovation Project NGII20190512National Natural Science Foundation of China 61977039
6 · The paper itself

Abstract

To describe both the global and local characteristics of a network more comprehensively, we propose the weighted

Indexed as

complex networkdisease propagationK-order propagation numbernode importance

Identifiers

PMID33286138
PMCPMC7516838
OpenAlexW3012663793

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.