ReviewAIMS neuroscience2020
Alice in Wonderland syndrome (AIWS): a research overview.
Review in AIMS neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed, 17 citations in OpenAlex.
- A neurological perspective on Tarsila do Amaral's "Abaporu": migraine aura inspiring art?Arquivos de neuro-psiquiatria · 2026Review
- Exploring Alice in Wonderland syndrome in adults with persistent headache after COVID-19: a cross-sectional study in Latin America.BMC neurology · 2025Article
- Alice in Wonderland Syndrome in a Child Following Epstein-Barr Virus Infection: A Case Report.Cureus · 2025Article
- Alice in Wonderland Syndrome as a Rare Presentation of Cryptogenic Stroke: A Case Report.Cureus · 2025Article
- Alice in Wonderland Syndrome (AIWS): prevalence and characteristics in adults with migraine.Journal of neurology · 2024Article
- A Twist in Perception: A Case of an Eight-Year-Old Female With Alice in Wonderland Syndrome.Cureus · 2024Article
- Global research on syndemics: a meta-knowledge analysis (2001-2020).F1000Research · 2022Article
- Alice in Wonderland syndrome (AIWS): a research overview.AIMS neuroscience · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAlice in Wonderland syndrome (AIWS) is a rare neuropsychiatric condition characterized by distorted visual perceptions, body schema, and experience of time. A global overview of research on AIWS can inform future developments and clinical practice in this field. This bibliometric study aimed to analyze the characteristics of the global research landscape on AIWS.
methodsBibliometric data on AIWS related publications published until 2019 were retrieved from the Web of Science database. The data were analyzed using statistical and scientometric tools to evaluate the publication trends, key research domains, top contributing journals, institutions, and countries associated with AIWS-related research.
resultsA total of 125 published items were analyzed with a mean of 3 authors and 8.15 citations per document. Most articles were published after 2008, in medical journals focused on neuropsychiatric sciences, and most institutions affiliated with AIWS research were based on high-income countries. Major research domains associated with AIWS included visual disturbances, body image, migraine, infections, risk factors, and other clinical correlates. Several overarching domains were identified; however, clinical research on diagnosis, treatment, and prognosis of AIWS is relatively limited.
conclusionThe current research landscape informs a developing trend in AIWS research in selected regions and specialties. Future research should emphasize multidisciplinary and translational investigations on clinical and epidemiological areas through global collaborations that may advance the knowledge and practice on AIWS.
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.