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Social Media Engagement and the Critical Care Medicine Community

Overview of attention for article published in Journal of Intensive Care Medicine, April 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#20 of 1,070)
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

twitter
158 X users
facebook
3 Facebook pages

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
78 Mendeley
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Title
Social Media Engagement and the Critical Care Medicine Community
Published in
Journal of Intensive Care Medicine, April 2018
DOI 10.1177/0885066618769599
Pubmed ID
Authors

Sean S. Barnes, Viren Kaul, Sapna R. Kudchadkar

Abstract

Over the last decade, social media has transformed how we communicate in the medical community. Microblogging through platforms such as Twitter has made social media a vehicle for succinct, targeted, and innovative dissemination of content in critical care medicine. Common uses of social media in medicine include dissemination of information, knowledge acquisition, professional networking, and patient advocacy. Social media engagement at conferences represents all of these categories and is often the first time health-care providers are introduced to Twitter. Most of the major critical care medicine conferences, journals, and societies leverage social media for education, research, and advocacy, and social media users can tailor the inflow of content based on their own interests. From these interactions, networks and communities are built within critical care medicine and beyond, overcoming the barriers of physical proximity. In this review, we summarize the history and current status of health-care social media as it relates to critical care medicine and provide a primer for those new to health-care social media with a focus on Twitter, one of the most popular microblogging platforms.

X Demographics

X Demographics

The data shown below were collected from the profiles of 158 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 78 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 12%
Student > Bachelor 8 10%
Student > Postgraduate 7 9%
Lecturer 5 6%
Professor > Associate Professor 5 6%
Other 23 29%
Unknown 21 27%
Readers by discipline Count As %
Medicine and Dentistry 16 21%
Social Sciences 8 10%
Nursing and Health Professions 6 8%
Computer Science 3 4%
Business, Management and Accounting 3 4%
Other 18 23%
Unknown 24 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 93. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 August 2020.
All research outputs
#481,456
of 26,363,900 outputs
Outputs from Journal of Intensive Care Medicine
#20
of 1,070 outputs
Outputs of similar age
#10,364
of 344,198 outputs
Outputs of similar age from Journal of Intensive Care Medicine
#2
of 24 outputs
Altmetric has tracked 26,363,900 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,070 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one has done particularly well, scoring higher than 98% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 344,198 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.