Early predictors in language-based learning disabilities: a bibliometric analysis
Maryam Alabbad, Muhammad Ajmal Khan, Nadeem Siddique, Jaber Abou Hassan, Shahid Bashir, Turki Abualait · 2023
Read Early predictors in language-based learning disabilities: a bibliometric analysis by Maryam Alabbad, Muhammad Ajmal Khan, Nadeem Siddique, Jaber Abou Hassan, Shahid Bashir, Turki Abualait (2023) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-10725967.txt.
Description
Maryam Alabbad and co-authors published a 2023 bibliometric analysis of research on early signs of language-based learning disabilities. These disorders include dyslexia, dyscalculia, and dysgraphia, which affect how children handle spoken and written language. The team mapped studies that used brain and cognitive measures to find early predictors. Their source was the Web of Science, covering work from 1991 to late 2021.
The search gathered 921 publications. Output grew slowly in the 1990s, then rose in recent years. Neuroimage and Neuropsychologia led the journal list, and the United States led by country. Hot topics included neuroimaging, fMRI, and cortical thickness. The authors argue that early predictors could anchor prevention programs for very young children. Combining brain measures with cognitive tests may sharpen future work.
Catalog record
| CREATOR | Maryam Alabbad, Muhammad Ajmal Khan, Nadeem Siddique, Jaber Abou Hassan, Shahid Bashir, Turki Abualait |
|---|---|
| YEAR | 2023 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 34 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |