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Use of Twitter Polls to Determine Public Opinion Regarding Content Presented at a Major National Specialty Society Meeting

Overview of attention for article published in Journal of the American College of Radiology, February 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

twitter
6 tweeters

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
55 Mendeley
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Title
Use of Twitter Polls to Determine Public Opinion Regarding Content Presented at a Major National Specialty Society Meeting
Published in
Journal of the American College of Radiology, February 2017
DOI 10.1016/j.jacr.2016.07.024
Pubmed ID
Authors

Andrew B. Rosenkrantz, C. Matthew Hawkins

Abstract

The aim of this study was to evaluate the feasibility of using Twitter polls to assess public opinion regarding session content at a national specialty society meeting. Twitter polls allow users to embed multiple-choice questions within tweets and automatically aggregate responses. Two radiologists attending the 2016 annual meeting of the ACR posted a Twitter poll containing the hashtag #ACR2016 during 10 meeting sessions addressing socioeconomics/advocacy, patient experience, and social media/informatics (20 polls total). Each poll contained a question asking for an opinion regarding the session's content. Polls were open for responses for 24 hours. The average number of responses per poll was significantly higher for the user with the larger number of Twitter followers (24.3 ± 14.4 versus 11.2 ± 9.8, P = .015). A total of 57% of respondents agreed that radiologists' payments should shift to value-based payments, and 86% agreed that radiologists should routinely survey their patients to monitor quality; however, 83% disagreed with basing physician payments on patient satisfaction scores. A total of 85% disagreed that the artificial intelligence supercomputer Watson will entirely replace radiologists. A total of 76% agreed that social media can drive business at less cost than standard marketing. A total of 56% agreed with the direction of the ACR's advocacy and regulatory efforts, whereas 74% considered the ACR's advocacy efforts to be moderately or very useful for their practice. A total of 50% planned to change their practice on the basis of keynote remarks by Dr Ezekiel Emanuel. Twitter polls provide a free and easy infrastructure to potentially capture global public sentiment during the course of a medical society meeting. Their use may enrich and promote discussions of key session content.

Twitter Demographics

The data shown below were collected from the profiles of 6 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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 54 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 18%
Student > Postgraduate 6 11%
Student > Bachelor 5 9%
Researcher 5 9%
Student > Ph. D. Student 4 7%
Other 9 16%
Unknown 16 29%
Readers by discipline Count As %
Medicine and Dentistry 16 29%
Social Sciences 4 7%
Psychology 3 5%
Nursing and Health Professions 3 5%
Computer Science 3 5%
Other 9 16%
Unknown 17 31%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 05 September 2021.
All research outputs
#6,443,657
of 22,889,074 outputs
Outputs from Journal of the American College of Radiology
#1,586
of 3,243 outputs
Outputs of similar age
#123,791
of 419,862 outputs
Outputs of similar age from Journal of the American College of Radiology
#38
of 84 outputs
Altmetric has tracked 22,889,074 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 3,243 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.7. This one has gotten more attention than average, scoring higher than 50% 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 419,862 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 84 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.