Evidence map›Paper›PMID 29614994›Full record

ArticleBMC ophthalmology2018

Theme trends and knowledge structure on choroidal neovascularization: a quantitative and co-word analysis.

Fangkun Zhao, Bei Shi, Ruixin Liu, Wenkai Zhou, Dong Shi, Jinsong Zhang

Open access · goldAbstract read
In one paragraph

Article in BMC ophthalmology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
5.7field-weighted citation impact, top 3% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 55 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. A Bibliometric Analysis of 14,822 Researches on Myocardial Reperfusion Injury by Machine Learning.International journal of environmental research and public health · 2021
    Article
  11. Bibliometric Analysis of Tumor Immunotherapy Studies.Medical science monitor : international medical journal of experimental and clinical research · 2018
    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 1 country.

Fangkun ZhaoDepartment of Ophthalmology, The Fourth Affiliated Hospital of China Medical University, Shenyang, China.
Bei ShiDepartment of Physiology, China Medical University, Shenyang, China.
Ruixin LiuDepartment of Ophthalmology, The Fourth Affiliated Hospital of China Medical University, Shenyang, China.
Wenkai ZhouDepartment of Ophthalmology, The Fourth Affiliated Hospital of China Medical University, Shenyang, China.
Dong ShiDepartment of Ophthalmology, The Fourth Affiliated Hospital of China Medical University, Shenyang, China.
Jinsong ZhangDepartment of Ophthalmology, The Fourth Affiliated Hospital of China Medical University, Shenyang, China. cmuzhangjs@163.com.
He Eye Hospital · CNChina Medical University · CNFourth Affiliated Hospital of China Medical University · CN

Funding

Basic Research Fund for Young Teahcers of Higher Education in Liaoning Province LQNK201717National Science Foundation for Young Scientists of China 81600777
6 · The paper itself

Abstract

backgroundThe distribution pattern and knowledge structure of choroidal neovascularization (CNV) was surveyed based on literatures in PubMed.

methodsPublished scientific papers about CNV were retrieved from Jan 1st, 2012 to May 31st, 2017. Extracted MeSH terms were analyzed quantitatively by using Bibliographic Item Co-Occurrence Matrix Builder (BICOMB) and high-frequency MeSH terms were identified. Hierarchical cluster analysis was conducted by SPSS 19.0 according to the MeSH term-source article matrix. High-frequency MeSH terms co-occurrence matrix was constructed to support strategic diagram and social network analysis (SNA).

resultsAccording to the searching strategy, all together 2366 papers were included, and the number of annual papers changed slightly from Jan 1st, 2012 to May 31st, 2017. Among all the extracted MeSH terms, 44 high-frequency MeSH terms were identified and hotspots were clustered into 6 categories. In the strategic diagram, clinical drug therapy, pathology and diagnosis related researches of CNV were well developed. In contrast, the metabolism, etiology, complications, prevention and control of CNV in animal models, and genetics related researches of CNV were relatively immature, which offers potential research space for future study. As for the SNA result, the position status of each component was described by the centrality values.

conclusionsThe studies on CNV are relatively divergent and the 6 research categories concluded from this study could reflect the publication trends on CNV to some extent. By providing a quantitative bibliometric research across a 5-year span, it could help to depict an overall command of the latest topics and provide some hints for researchers when launching new projects.

Indexed as

BibliometricsChoroidal NeovascularizationCluster AnalysisHumansPublishingBibliometric analysisChoroidal neovascularizationCo-word analysisSocial network analysis

Identifiers

PMID29614994
PMCPMC5883306
OpenAlexW2803191532

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.