Evidence map›Paper›PMID 39539458›Full record

ReviewFrontiers in aging neuroscience2024

Biomarkers and Alzheimer's disease: a bibliometric analysis.

Linyi Yang, Jingyan Zeng, Linlin Li, Yunwei Zhang

Abstract readReview
In one paragraph

Review in Frontiers in aging neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Linyi Yang *Department of Neurology, Suining Central Hospital, Suining, China.
Jingyan Zeng *Department of Respiratory and Critical Care Medicine, Suining First People's Hospital, Suining, China.
Linlin LiDepartment of Neurology, Suining Central Hospital, Suining, China.
Yunwei ZhangDepartment of Neurology, Suining Central Hospital, Suining, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The diagnosis and treatment of biomarkers in Alzheimer's disease has emerged as a prominent topic within Alzheimer's disease research. In this paper, we conducted a bibliometric analysis of data from a wide range of literature in this field to enhance the in-depth understanding of this area. Method: The core collection of the Science Citation Index database (web of science) was used to search for relevant literature in the above fields from 1 January 2006 to 14 November 2022 and Citespace software was used to visualize and analyze the literature data. Results: A total of 1,138 papers were included, of which the United States ranked first with 607 papers and China ranked 6th in the world with 84 papers. The value of mediational centrality is 0.49 in the United States and 0.05 in China. In terms of the number of articles published by the research authors, the Swedish scholar Blennow Kaj ranks first with 82 articles published, and the scholars who rank second and third are Zetterberg Henrik (78 articles) and Morris John C (64 articles), respectively; in terms of the mediational centrality, the American scholar Trojanowski John Q ranked first in the world with 0.1, and the second and third ranked scholars were Blennow Kaj (0.09) and Zetterberg Henrik (0.06) respectively. Scholar JACK CR ranked first with 377 citation frequency. The journal NEUROLOGY is ranked first with 943 citations. Conclusion: In recent years, global research in the field of biomarkers related to Alzheimer's disease has shown signs of softening, and the momentum of research has slightly diminished. However, this trend does not imply a decline in the quality of research. It is essential to enhance collaboration among countries, major research institutions, and scholars, with a particular emphasis on fostering international partnerships in the future.

Indexed as

Alzheimer’s diseasebibliometricsbiomarkersgrowing trendresearch statusvisual analysis

Identifiers

PMID39539458
PMCPMC11557497

What OpenQuestion holds

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LicenceCC BY
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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.