ArticleFrontiers in medicine2022
Trends in research related to ophthalmic microperimetry from 1992 to 2022: A bibliometric analysis and knowledge graph study.
Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
3 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- A bibliometric analysis of the research hotspots and frontiers related to cell death in spinal cord injury.Frontiers in neurology · 2023Pooled it
- Global trends in chronic kidney disease related cognitive impairment/dementia: a bibliometric analysis (2005-2025).Frontiers in neurologyPooled it
- Research on distribution network fault processing technology based on knowledge of graph.PloS one · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Microperimetry is a novel technology to assess macular function. The aim of the study was to explore the global research status and trends in microperimetry. Methods: Documents related to microperimetry in ophthalmology from 1992 to 2022 were extracted from the Science Citation Index Expanded (SCI-E) database of the Web of Science Core Collection (WOSCC). Raw data were analyzed using the VOSviewer and CiteSpace software. Bibliometric parameters included annual publication quantity, countries, authors, journals, international cooperation, and keywords. Results: A total of 1,217 peer-reviewed documents were retrieved. Annual research output has increased significantly since 2005, especially since 2013. Holz F, Rubin G, and Guymer R contributed most to the number of articles published about microperimetry. Rubin G, Fitzke F, and Holz F, respectively, received the most citations for their study. The countries publishing most were the USA, Italy, and the UK, while the USA, the UK, and Germany received the most citation frequency. Univ Bonn, UCL, and Moorfields Eye Hosp were the top three productive institutions for microperimetry research in the world. The top three journals that publish articles about microperimetry were Retina-The Journal of Retinal and Vitreous Diseases, Investigative Ophthalmology and Visual Science, and the American Journal of Ophthalmology. The top 10 common keywords included microperimetry, optical coherence tomography, eye, retinal sensitivity, macular degeneration, fundus autofluorescence, scanning laser ophthalmoscope, visual acuity, sensitivity, and degeneration. Keywords "optical coherence tomography angiography," "retinitis pigmentosa," and "internal limiting membrane" burst in the last 3 years. Conclusion: The bibliometric and knowledge graph analysis of research status and trends in microperimetry provided global researchers with valuable information to propose future cooperation and track cutting-edge progress.
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Identifiers
What OpenQuestion holds
Registered trials
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.