Connecting for Better Health: Discovering Differences in Self-‐Reported Preference in the Environment of Social Media in Healthcare Communications
2016
- 789Usage
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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
- Usage789
- Downloads723
- Abstract Views66
Thesis / Dissertation Description
Though working as a vital service to the community, health care companies have the samechallenges as other businesses needing to remain competitive in the marketplace. Health care providers, however, have the additional challenge of providing healthcare communications that are valuable to society. Social media presents a new environment for healthcare providers to communicate and form a relationship with their patient community. Better insights into this new environment are necessary in order to establish how patients self-report differences in preference for the different types of technology-mediated communications. Through survey methods, this study looks into the differences in self-reported claims of the patient community and their preferences in connecting with healthcare providers through social media and other forms of technology-mediated communications.
Bibliographic Details
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