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Computational statistical methods applied on conducting scientific literature reviews Barahona, Igor
Description
In the last two decades the number of published articles and the amount of digital information has grown exponentially. This perspective increases the complexity on performing accurate and objective literature reviews. In this talk, a novel methodology based on computational statistics is introduced for investigating datasets composed by abstracts of published articles. We address to questions such as how is vocabulary commonly used in science What are the most relevant topics for the studied journals Which articles are the most influential What words do authors prefer Tow study cases, which comprises easy-to-read visual representations, are provided to illustrate how this methodology can answer the previous questions.
Item Metadata
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Computational statistical methods applied on conducting scientific literature reviews
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Creator | |
Publisher |
Banff International Research Station for Mathematical Innovation and Discovery
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Date Issued |
2018-11-16T09:45
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Description |
In the last two decades the number of published articles and the amount of digital information has grown exponentially. This perspective increases the complexity on performing accurate and objective literature reviews. In this talk, a novel methodology based on computational statistics is introduced for investigating datasets composed by abstracts of published articles. We address to questions such as how is vocabulary commonly used in science What are the most relevant topics for the studied journals Which articles are the most influential What words do authors prefer Tow study cases, which comprises easy-to-read visual representations, are provided to illustrate how this methodology can answer the previous questions.
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Extent |
23.0
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Type | |
File Format |
video/mp4
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Language |
eng
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Notes |
Author affiliation: Universidad Nacional Autónoma de México
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Series | |
Date Available |
2019-05-16
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
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DOI |
10.14288/1.0378807
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URI | |
Affiliation | |
Peer Review Status |
Unreviewed
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Scholarly Level |
Researcher
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Rights URI | |
Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International