↓ Skip to main content

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
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)

Mentioned by

twitter
4 tweeters

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
33 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
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 4 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Unknown 32 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 21%
Unspecified 4 12%
Student > Postgraduate 4 12%
Student > Bachelor 3 9%
Student > Ph. D. Student 2 6%
Other 9 27%
Unknown 4 12%
Readers by discipline Count As %
Medicine and Dentistry 12 36%
Unspecified 5 15%
Business, Management and Accounting 3 9%
Social Sciences 3 9%
Psychology 2 6%
Other 4 12%
Unknown 4 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 October 2016.
All research outputs
#6,777,642
of 12,506,062 outputs
Outputs from Journal of the American College of Radiology
#1,320
of 2,129 outputs
Outputs of similar age
#111,071
of 264,354 outputs
Outputs of similar age from Journal of the American College of Radiology
#93
of 133 outputs
Altmetric has tracked 12,506,062 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,129 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 34th percentile – i.e., 34% of its peers scored the same or lower than it.
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 264,354 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 56% of its contemporaries.
We're also able to compare this research output to 133 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.