↓ Skip to main content

Maximizing the Tweet Engagement Rate in Academia: Analysis of the AJNR Twitter Feed

Overview of attention for article published in American Journal of Neuroradiology, June 2017
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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

twitter
28 tweeters

Citations

dimensions_citation
42 Dimensions

Readers on

mendeley
76 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
Maximizing the Tweet Engagement Rate in Academia: Analysis of the AJNR Twitter Feed
Published in
American Journal of Neuroradiology, June 2017
DOI 10.3174/ajnr.a5283
Pubmed ID
Authors

V. Wadhwa, E. Latimer, K. Chatterjee, J. McCarty, R.T. Fitzgerald

Abstract

The use of social media by medical professionals and organizations is increasing, with Twitter receiving the most attention. User engagement is an important goal of social media activity, and engagement metrics represent a viable gauge of value in social media. No thorough analysis of tweet characteristics that increase academic user engagement has yet been published. In this study, the authors analyzed the American Journal of Neuroradiology Twitter feed to determine the tweet characteristics that were associated with higher engagement rates.

Twitter Demographics

The data shown below were collected from the profiles of 28 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 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 76 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 16%
Student > Postgraduate 7 9%
Researcher 6 8%
Student > Bachelor 6 8%
Other 4 5%
Other 16 21%
Unknown 25 33%
Readers by discipline Count As %
Medicine and Dentistry 12 16%
Computer Science 5 7%
Engineering 4 5%
Social Sciences 4 5%
Agricultural and Biological Sciences 3 4%
Other 17 22%
Unknown 31 41%

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 10 September 2020.
All research outputs
#2,050,345
of 23,569,120 outputs
Outputs from American Journal of Neuroradiology
#347
of 4,995 outputs
Outputs of similar age
#40,956
of 316,088 outputs
Outputs of similar age from American Journal of Neuroradiology
#11
of 88 outputs
Altmetric has tracked 23,569,120 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,995 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has done particularly well, scoring higher than 93% 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 316,088 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 87% of its contemporaries.
We're also able to compare this research output to 88 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.