Analyzing publication productivity using a web-based system: A preliminary study
There is no automated system that collect Universiti Malaysia Sabah (UMS) academic staff publication from Scopus. Previously, data collection is made by retrieving the records from Scopus by searching for UMS affiliation and filtering by year. The data then is matched with Staff ID of the academic s...
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2020
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my.utm.916232021-07-14T08:18:47Z http://eprints.utm.my/id/eprint/91623/ Analyzing publication productivity using a web-based system: A preliminary study Alias, Nuraliah Baharum, Aslina Nazlan, Nadia Hanin Omar, Muhammad Ab Fatah, Nur Shahida Mat Noor, Noorsidi Aizuddin QA76 Computer software There is no automated system that collect Universiti Malaysia Sabah (UMS) academic staff publication from Scopus. Previously, data collection is made by retrieving the records from Scopus by searching for UMS affiliation and filtering by year. The data then is matched with Staff ID of the academic staff. This requires time and may lead to error because the work is done manually. In addition, the author name that are retrieved from Scopus may not be affiliated with UMS anymore, so the data is invalid. Thus, this paper highlights the significance of a project proposed as a platform for universities to gauge scholars’ research productivity in the Scopus database. Data from Scopus were extracted, analyzed and visualized using criterions such as age, academic position, as well as teaching loads that may affect a scholar’s research productivity. This paper focuses on the datest of academic staff from UMS, and their publication in Scopus, relative to their socio-demographic data. Science & Engineering Research Support Society 2020 Article PeerReviewed Alias, Nuraliah and Baharum, Aslina and Nazlan, Nadia Hanin and Omar, Muhammad and Ab Fatah, Nur Shahida and Mat Noor, Noorsidi Aizuddin (2020) Analyzing publication productivity using a web-based system: A preliminary study. International Journal of Advanced Science and Technology, 29 (9S). pp. 1107-1116. ISSN 2005-4238 |
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QA76 Computer software Alias, Nuraliah Baharum, Aslina Nazlan, Nadia Hanin Omar, Muhammad Ab Fatah, Nur Shahida Mat Noor, Noorsidi Aizuddin Analyzing publication productivity using a web-based system: A preliminary study |
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There is no automated system that collect Universiti Malaysia Sabah (UMS) academic staff publication from Scopus. Previously, data collection is made by retrieving the records from Scopus by searching for UMS affiliation and filtering by year. The data then is matched with Staff ID of the academic staff. This requires time and may lead to error because the work is done manually. In addition, the author name that are retrieved from Scopus may not be affiliated with UMS anymore, so the data is invalid. Thus, this paper highlights the significance of a project proposed as a platform for universities to gauge scholars’ research productivity in the Scopus database. Data from Scopus were extracted, analyzed and visualized using criterions such as age, academic position, as well as teaching loads that may affect a scholar’s research productivity. This paper focuses on the datest of academic staff from UMS, and their publication in Scopus, relative to their socio-demographic data. |
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Article |
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Alias, Nuraliah Baharum, Aslina Nazlan, Nadia Hanin Omar, Muhammad Ab Fatah, Nur Shahida Mat Noor, Noorsidi Aizuddin |
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Alias, Nuraliah Baharum, Aslina Nazlan, Nadia Hanin Omar, Muhammad Ab Fatah, Nur Shahida Mat Noor, Noorsidi Aizuddin |
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Alias, Nuraliah |
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Analyzing publication productivity using a web-based system: A preliminary study |
title_short |
Analyzing publication productivity using a web-based system: A preliminary study |
title_full |
Analyzing publication productivity using a web-based system: A preliminary study |
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Analyzing publication productivity using a web-based system: A preliminary study |
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Analyzing publication productivity using a web-based system: A preliminary study |
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analyzing publication productivity using a web-based system: a preliminary study |
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Science & Engineering Research Support Society |
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2020 |
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http://eprints.utm.my/id/eprint/91623/ |
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