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#Radiology: A 7-Year Analysis of Radiology-Associated Hashtags

Overview of attention for article published in Current Problems in Diagnostic Radiology, September 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#22 of 152)
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
12 tweeters

Readers on

mendeley
11 Mendeley
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Title
#Radiology: A 7-Year Analysis of Radiology-Associated Hashtags
Published in
Current Problems in Diagnostic Radiology, September 2018
DOI 10.1067/j.cpradiol.2018.04.005
Pubmed ID
Authors

Jacob J. Bundy, Anthony N. Hage, Jeffrey Forris Beecham Chick, Rajiv N. Srinivasa, Nishant Patel, Evan Johnson, Joseph J. Gemmete, Ravi N. Srinivasa

Abstract

To describe the radiology-related Twitter network through the analysis of the most commonly used radiology-associated hashtags. A total of 959,366 tweets containing the hashtags from the 9 most commonly used radiology-associated hashtags composed by 66,568 Twitter users from October 13, 2010 to February 22, 2018 were analyzed. Twitter activity metrics, engagement, user characteristics, content analysis, and network analysis were obtained using the health care social media analytics platform, Symplur Signals. The number of tweets containing the most commonly used radiology hashtags increased by 198% during 2011. Regarding tweet content, 246,949 (46.9%) tweets were related to patients, 140,562 (26.7%) tweets were cancer related, 47,704 (9.1%) tweets were related to research, and 26,994 (5.1%) tweets were related to radiation. As for engagement, there were 374,082 retweets (39%), 512,919 mentions (53.5%), and 12,919 replies (1.3%). Health care organizations not directly involved with patient care, physicians, and patients authored 283,698 (29.6%), 217,152 (22.6%), and 27,595 (2.9%) tweets, respectively. Network analysis demonstrated health care organizations not directly involved with patient care, physicians, media organizations, and individuals working in the health care industry in nonclinical roles to be the users most active on the radiology-related hashtags on Twitter. Radiology-related hashtag use has grown substantially over the years, with a majority of the discussions involving physicians and health care organizations not directly involved with patient care.

Twitter Demographics

The data shown below were collected from the profiles of 12 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 27%
Other 3 27%
Researcher 2 18%
Student > Bachelor 1 9%
Student > Postgraduate 1 9%
Other 1 9%
Readers by discipline Count As %
Medicine and Dentistry 5 45%
Unspecified 3 27%
Computer Science 2 18%
Nursing and Health Professions 1 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 20 May 2018.
All research outputs
#1,585,758
of 12,199,539 outputs
Outputs from Current Problems in Diagnostic Radiology
#22
of 152 outputs
Outputs of similar age
#53,767
of 262,697 outputs
Outputs of similar age from Current Problems in Diagnostic Radiology
#3
of 9 outputs
Altmetric has tracked 12,199,539 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 152 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 85% 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 262,697 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 79% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.