@article{scholars5446,
            year = {2014},
       publisher = {Springer New York LLC},
         journal = {Journal of Medical Systems},
          number = {4},
          volume = {38},
            note = {cited By 32},
             doi = {10.1007/s10916-014-0037-x},
           title = {MIRASS: Medical informatics research activity support system using information mashup network},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84897350469&doi=10.1007\%2fs10916-014-0037-x&partnerID=40&md5=9ce8b3fdec0914c6ded6bad73ef20c94},
        keywords = {article; clinical article; computer; computer interface; computer network; editor; human; human computer interaction; information mashup network; Internet; medical informatics; medical informatics research activity support system; medical information; medical research; online system; scientist; search engine; social network; information dissemination; information system; organization and management; research; social media; standards, Information Dissemination; Information Systems; Research; Search Engine; Social Media},
        abstract = {The advancement of information technology has facilitated the automation and feasibility of online information sharing. The second generation of the World Wide Web (Web 2.0) enables the collaboration and sharing of online information throughWeb-serving applications. Data mashup, which is considered a Web 2.0 platform, plays an important role in information and communication technology applications. However, few ideas have been transformed into education and research domains, particularly in medical informatics. The creation of a friendly environment for medical informatics research requires the removal of certain obstacles in terms of search time, resource credibility, and search result accuracy. This paper considers three glitches that researchers encounter in medical informatics research; these glitches include the quality of papers obtained from scientific search engines (particularly, Web of Science and Science Direct), the quality of articles from the indices of these search engines, and the customizability and flexibility of these search engines. A customizable search engine for trusted resources ofmedical informaticswas developed and implemented through data mashup. Results show that the proposed search engine improves the usability of scientific search engines for medical informatics. Pipe search engine was found to be more efficient than other engines. {\^A}{\copyright} Springer Science+Business Media 2014.},
          author = {Kiah, M. L. M. and Zaidan, B. B. and Zaidan, A. A. and Nabi, M. and Ibraheem, R.},
            issn = {01485598}
}