↓ Skip to main content

The Prescription Opioid Epidemic: Social Media Responses to the Residents’ Perspective Article

Overview of attention for article published in Annals of Emergency Medicine, January 2016
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
21 tweeters

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
49 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
The Prescription Opioid Epidemic: Social Media Responses to the Residents’ Perspective Article
Published in
Annals of Emergency Medicine, January 2016
DOI 10.1016/j.annemergmed.2015.05.005
Pubmed ID
Authors

Esther K. Choo, Maryann Mazer-Amirshahi, David Juurlink, Scott Kobner, Kevin Scott, Michelle Lin

Abstract

In June 2014, Annals of Emergency Medicine collaborated with the Academic Life in Emergency Medicine (ALiEM) blog-based Web site to host an online discussion session featuring the Annals Residents' Perspective article "The Opioid Prescription Epidemic and the Role of Emergency Medicine" by Poon and Greenwood-Ericksen. This dialogue included a live videocast with the authors and other experts, a detailed discussion on the ALiEM Web site's comment section, and real-time conversations on Twitter. Engagement was tracked through various Web analytic tools, and themes were identified by content curation. The dialogue resulted in 1,262 unique page views from 433 cities in 41 countries on the ALiEM Web site, 408,498 Twitter impressions, and 168 views of the video interview with the authors. Four major themes about prescription opioids identified included the following: physician knowledge, inconsistent medical education, balance between overprescribing and effective pain management, and approaches to solutions. Free social media technologies provide a unique opportunity to engage with a diverse community of emergency medicine and non-emergency medicine clinicians, nurses, learners, and even patients. Such technologies may allow more rapid hypothesis generation for future research and more accelerated knowledge translation.

Twitter Demographics

The data shown below were collected from the profiles of 21 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
France 1 2%
Australia 1 2%
Ireland 1 2%
United States 1 2%
Unknown 44 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 16%
Researcher 7 14%
Other 7 14%
Student > Master 6 12%
Professor > Associate Professor 4 8%
Other 17 35%
Readers by discipline Count As %
Medicine and Dentistry 20 41%
Computer Science 6 12%
Nursing and Health Professions 6 12%
Unspecified 4 8%
Social Sciences 4 8%
Other 9 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 03 May 2016.
All research outputs
#1,209,443
of 12,196,947 outputs
Outputs from Annals of Emergency Medicine
#1,100
of 4,404 outputs
Outputs of similar age
#31,890
of 235,064 outputs
Outputs of similar age from Annals of Emergency Medicine
#37
of 67 outputs
Altmetric has tracked 12,196,947 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,404 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. This one has gotten more attention than average, scoring higher than 74% 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 235,064 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.