ArticleVision research2019
Extending the MNREAD sentence corpus: Computer-generated sentences for measuring visual performance in reading.
Article in Vision research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed, 28 citations in OpenAlex.
- The Impact of Myopia Control Spectacle Lens Designs on Visual Function.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2026Trial
- Recent Developments in Research to Make the World Better for People with Low Vision.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2026Review
- Linking visual span and reading speed in dyslexia.Journal of vision · 2026Article
- Spatial remapping improves reading with simulated central field loss.Journal of vision · 2026Article
- Assessment of newly designed fonts for visual accessibility.PloS one · 2026Article
- The Preferred Retinal Locus for Reading in Central Vision Loss.Investigative ophthalmology & visual science · 2025Article
- Reading Assessment and Eye Movement Analysis in Bilateral Central Scotoma Due to Age-Related Macular Degeneration.Journal of eye movement research · 2025Article
- Korean version of the MNREAD acuity chart.Scientific reports · 2024Article
- Validation of a computerized version of the MNREAD chart for children.International ophthalmology · 2024Article
- Short Italian Wilkins Rate of Reading Test for repeated-measures designs in optometry and neuropsychology.Frontiers in psychology · 2024Article
- A systematic review of reading tests.International journal of ophthalmology · 2023Review
- Reading text works better than watching videos to improve acuity in a simulation of artificial vision.Scientific reports · 2022Article
- The impact of spectacle lenses for myopia control on visual functions.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2021Article
- Simulating Visibility and Reading Performance in Low Vision.Frontiers in neuroscience · 2021Article
- Development and Validation of a Web-Based Reading Test for Normal and Low Vision Patients.Clinical ophthalmology (Auckland, N.Z.) · 2021Article
- Repeatability and Validity of MNREAD Test in Children With Vision Impairment.Translational vision science & technology · 2020Article
- Introduction of a digital near-vision reading test for normal and low vision adults: development and validation.Eye and vision (London, England) · 2020Article
- Article
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 2 institutions in 1 country.
Funding
Abstract
The MNREAD chart consists of standardized sentences printed at 19 sizes in 0.1 logMAR steps. There are 95 sentences distributed across the five English versions of the chart. However, there is a demand for a much larger number of sentences: for clinical research requiring repeated measures, and for new vision tests that use multiple trials at each print size. This paper describes a new sentence generator that has produced over nine million sentences that fit the MNREAD constraints, and demonstrates that reading performance with these new sentences is comparable to that obtained with the original MNREAD sentences. We measured reading performance with the original MNREAD sentences, two sets of our new sentences, and sentences with shuffled word order. Reading-speed versus print-size curves were obtained for each sentence set from 14 readers with normal vision at two levels of blur (intended to simulate acuity loss in low vision) and with unblurred text. We found no significant differences between the new and original sentences in reading acuity and critical print size across all levels of blur. Maximum reading speed was 7% slower with the new sentences than with the original sentences. Shuffled sentences yielded slower maximum reading speeds and larger reading acuities than the other sentences. Overall, measures of reading performance with the new sentences are similar to those obtained with the original MNREAD sentences. Our sentence generator substantially expands the reading materials for clinical research on reading vision using the MNREAD test, and opens up new possibilities for measuring how text parameters affect reading.
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.