Evidence map›Paper›PMID 36580955›Full record

ArticleArquivos de neuro-psiquiatria2022

Big data analysis of endovascular treatment of intracranial aneurysms: a bibliometric analysis of the top 100 most cited articles.

Shuai Zhang, Dong Liu, Jiao Wang, Ming Lv

Abstract read
In one paragraph

Article in Arquivos de neuro-psiquiatria, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Shuai ZhangBeijing Jingmei Group General Hospital, Department of Neurosurgery, Beijing, China.ORCID 0000-0002-9346-0924
Dong LiuCapital Medical University, Beijing Tian Tan Hospital, Department of Neurology, Beijing, China.ORCID 0000-0003-1546-2518
Jiao WangBeijing Jingmei Group General Hospital, Department of Emergency, Beijing, China.ORCID 0000-0001-5769-4080
Ming LvCapital Medical University, Beijing Tiantan Hospital, Beijing Neurosurgical Institute, Department of Interventional Neuroradiology, Beijing, China.ORCID 0000-0003-1865-2309

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe impact of a literature report on a particular subject can be measured by its number of citations.

objectiveThe purpose of this study was to evaluate the characteristics of the literature reports in the field of endovascular treatment of intracranial aneurysms (IAs) by analyzing the top 100 most cited articles. It should be noted that the focus of this study is to describe the bibliometric characteristics.

methodsThis bibliometric analysis dedicated only to endovascular treatment of IAs in our study. We searched the top 100 most cited articles in the field of endovascular treatment of IAs using the search tool of the Web of Science (WOS). We evaluated the characteristics of these high-impact publications, including publication year, category, journal, author's country, etc.

resultsThe top 100 most cited articles were cited 281.3 times, on average. The United States has published the most articles every year compared with other countries. These highly cited articles are mostly published in the Journal of Neurosurgery. Eighty-six of the top 100 most cited articles were clinical studies.

conclusionThe bibliometric analysis provides insight over the development and the growing trend in endovascular treatment of IAs. This study can help researchers better understand the global overview of this field, and it also provides leads about promising areas of future research and potential collaborations.

Indexed as

Intracranial AneurysmNeurosurgeryBibliometricsHumansNeurosurgical Procedures

Identifiers

PMID36580955
PMCPMC9800165

What OpenQuestion holds

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Registered trials

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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.