All the Science That Is Fit to Blog: An Analysis of Science Blogging Practices
2015
- 5,748Usage
- 2Mentions
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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.
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.
Metrics Details
- Usage5,748
- Downloads5,026
- 2,595
- 2,431
- Abstract Views722
- Mentions2
- Blog Mentions2
- Blog2
Thesis / Dissertation Description
This dissertation examines science blogging practices, including motivations, routines and content decision rules, across a wide range of science bloggers. Previous research has largely failed to investigate science blogging practices from science bloggers’ perspective or to establish a sociological framework for understanding how science bloggers decide what to blog about. I address this gap in previous research by conducting qualitative in-depth interviews with 50 science bloggers and an extensive survey of blogging motivations, approaches, content decisions rules, values and editorial constraints for over 600 active science bloggers. Results reveal that science blog content is shaped heavily by not only individual factors including personal interest, but also a variety of social forces at levels of routines, organizations or blogging communities, and social institutions. Factors revealed herein to shape science blog content are placed into a sociological framework, an adapted version of Shoemaker and Reese’s Hierarchical Model of Influences, in order to guide current and future research on the sociology of science blogging. Shoemaker and Reese’s Hierarchical Model of Influences is a model of the factors that influence mass media content, which has been used previously by mass communication researchers to guide analysis of mass media content production. In the visual model, concentric circles represent relative hierarchical levels of influences on media content, starting an individuals and expanding out to routines, organizations, extra-media influences and ideology. I adapt this model based on the factors found herein to influence science blog content, such as bloggers’ individual motivations, editorial constraints and access to information sources.
Bibliographic Details
https://repository.lsu.edu/gradschool_dissertations/1051; https://digitalcommons.lsu.edu/gradschool_dissertations/1051
https://repository.lsu.edu/gradschool_dissertations/1051; http://dx.doi.org/10.31390/gradschool_dissertations.1051; https://repository.lsu.edu/cgi/viewcontent.cgi?article=2050&context=gradschool_dissertations; https://digitalcommons.lsu.edu/gradschool_dissertations/1051; https://digitalcommons.lsu.edu/cgi/viewcontent.cgi?article=2050&context=gradschool_dissertations; https://dx.doi.org/10.31390/gradschool_dissertations.1051; https://repository.lsu.edu/gradschool_dissertations/1051/
Louisiana State University Libraries
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