↓ 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 (85th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
24 tweeters

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
28 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 24 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 25%
Student > Bachelor 4 14%
Other 3 11%
Researcher 3 11%
Student > Postgraduate 3 11%
Other 5 18%
Unknown 3 11%
Readers by discipline Count As %
Medicine and Dentistry 10 36%
Social Sciences 3 11%
Business, Management and Accounting 2 7%
Psychology 2 7%
Unspecified 1 4%
Other 2 7%
Unknown 8 29%

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 04 May 2018.
All research outputs
#1,279,487
of 14,031,069 outputs
Outputs from American Journal of Neuroradiology
#205
of 3,498 outputs
Outputs of similar age
#38,322
of 265,005 outputs
Outputs of similar age from American Journal of Neuroradiology
#13
of 93 outputs
Altmetric has tracked 14,031,069 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 3,498 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done particularly well, scoring higher than 94% 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 265,005 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 85% of its contemporaries.
We're also able to compare this research output to 93 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.
https://www.altmetric.com/details/21438998/
www.altmetric.com
crawl=CC-MAIN-2020-16
29483
application/http; msgtype=response
sha1:T2EQEOI4APRKZWODYMVUSNX3RMA3XY2G
<urn:uuid:10139073-3827-4e72-9119-0d1296b29791>
2020-03-31T23:37:53Z
151.101.250.2
text/html
sha1:B2BXCH5XFZ7CF2IFAJDU4VWZJ243OWOO
<urn:uuid:147f3664-abaa-40fc-98e0-66f3f65f666d>
https://www.altmetric.com/details/21438998/
response
<urn:uuid:8b42c248-d68d-4975-a350-6ae36840d190>
isPartOf: CC-MAIN-2020-16
publisher: Common Crawl
description: Wide crawl of the web for March/April 2020
operator: Common Crawl Admin (info@commoncrawl.org)
hostname: ip-10-67-67-81.ec2.internal
software: Apache Nutch 1.16 (modified, https://github.com/commoncrawl/nutch/)
robots: checked via crawler-commons 1.1-SNAPSHOT (https://github.com/crawler-commons/crawler-commons)
format: WARC File Format 1.1
conformsTo: http://iipc.github.io/warc-specifications/specifications/warc-format/warc-1.1/