Web Augmentation: A systematic mapping study
Science of Computer Programming, ISSN: 0167-6423, Vol: 232, Page: 103045
2024
- 1Citations
- 6Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Review Description
The potential of Web Augmentation lies in the fact that all users need to adapt the content, style, or behavior of the web pages they visit. This is because every human being has different desires and needs, yet everyone accesses web pages designed for the general public, which cannot satisfy everyone. Web Augmentation tools have diverse objectives, such as modifying content, style, or behavior. Similarly, some tools are designed to adapt web pages for mobile devices, while others target computers. This mapping study aims to provide insights into recent trends in Web Augmentation for each of its features. By analyzing the data provided, valuable information can be extracted to inform the development of new mechanisms for creating Web Augmentation tools in the future.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0167642323001272; http://dx.doi.org/10.1016/j.scico.2023.103045; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85174519180&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S0167642323001272; https://dx.doi.org/10.1016/j.scico.2023.103045
Elsevier BV
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