ArticlePeerJ2016
Trends and topics in eye disease research in PubMed from 2010 to 2014.
Article in PeerJ, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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
17 citing papers in PubMed, 36 citations in OpenAlex.
- Research on eye health 2000-2019: a global bibliometric analysis with a focus on equity.BMJ open ophthalmology · 2026Article
- Contribution from the SAARC Region to Ophthalmic Research: A Bibliometric Analysis.Pakistan journal of medical sciences · 2025Article
- Characteristics of retracted articles in ophthalmology.Heliyon · 2024Article
- Evaluation of Reporting Quality of Glaucoma Randomized Controlled Trial Abstracts: Current Status and Future Perspectives.Life (Basel, Switzerland) · 2024Article
- Publication trends in the field of the cornea in the last 4 decades: a bibliometric study.International ophthalmology · 2023Article
- Thirty-year survey of bibliometrics used in the research literature of pain: Analysis, evolution, and pitfalls.Frontiers in pain research (Lausanne, Switzerland) · 2023Review
- Hotspots and frontiers of genetic research on pediatric cataracts from 2013 to 2022: a scientometric analysis.International journal of ophthalmology · 2023Article
- Worldwide ophthalmological research production 2000-2020, with special focus on the Nordic contribution.Acta ophthalmologica · 2022Article
- Investigation of Biomedical Students' Knowledge on Glaucoma Reveals a Need for Education: A Cross-Sectional Study.Healthcare (Basel, Switzerland) · 2022Article
- Analysis of international publication trends in artificial intelligence in ophthalmology.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2022Review
- Mapping the Intellectual Structure of Medical Sociology: A Co-Word Analysis.Iranian journal of public health · 2022Article
- Thematic research clusters in very old populations (≥ 80 years): a bibliometric approach.BMC geriatrics · 2021Article
- The inverse-research law of eye health.Eye (London, England) · 2019Article
- Worldwide inequality in access to full text scientific articles: the example of ophthalmology.PeerJ · 2019Article
- Theme trends and knowledge structure on choroidal neovascularization: a quantitative and co-word analysis.BMC ophthalmology · 2018Article
- A bibliometric analysis of natural language processing in medical research.BMC medical informatics and decision making · 2018Article
- Trends in impact factors of ophthalmology journals.Indian journal of ophthalmology · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe purpose of this study is to provide a report on scientific production during the period 2010-2014 in order to identify the major topics as well as the predominant actors (journals, countries, continents) involved in the field of eye disease.
methodsA PubMed search was carried out to extract articles related to eye diseases during the period 2010-2014. Data were downloaded and processed through developed PHP scripts for further analysis.
resultsA total of 62,123 articles were retrieved. A total of 3,368 different journals were found, and 19 journals were identified as "core journals" according to Braford's law. English was by far the predominant language. A total of 853,182 MeSH terms were found, representing an average of 13.73 (SD = 4.98) MeSH terms per article. Among these 853,182 MeSH terms, 14,689 different MeSH terms were identified. Vision Disorders, Glaucoma, Diabetic Retinopathy, Macular Degeneration, and Cataract were the most frequent five MeSH terms related to eye diseases. The analysis of the total number of publications showed that Europe and Asia were the most productive continents, and the USA and China the most productive countries. Interestingly, using the mean Five-Year Impact Factor, the two most productive continents were North America and Oceania. After adjustment for population, the overall ranking positions changed in favor of smaller countries (i.e. Iceland, Switzerland, Denmark, and New Zealand), while after adjustment for Gross Domestic Product (GDP), the overall ranking positions changed in favor of some developing countries (Malawi, Guatemala, Singapore).
conclusionsDue to the large number of articles included and the numerous parameters analyzed, this study provides a wide view of scientific productivity related to eye diseases during the period 2010-2014 and allows us to better understand this field.
Indexed as
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.