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Research Article

Publicly Available Metrics Underestimate AJNR Twitter Impact and Follower Engagement

C.M. Tomblinson, V. Wadhwa, E. Latimer, C.H. Gauss and J.L. McCarty
American Journal of Neuroradiology December 2019, 40 (12) 1994-1997; DOI: https://doi.org/10.3174/ajnr.A6299
C.M. Tomblinson
aFrom the Department of Radiology and Radiological Sciences (C.M.T.), Vanderbilt University Medical Center, Nashville, Tennessee
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V. Wadhwa
bDepartments of Radiology (V.W., E.L.)
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E. Latimer
bDepartments of Radiology (V.W., E.L.)
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C.H. Gauss
cBiostatistics (C.H.G.), University of Arkansas for Medical Sciences, Little Rock, Arkansas
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J.L. McCarty
dDepartment of Diagnostic and Interventional Imaging (J.L.M.), University of Texas Health Science Center, Houston, Texas.
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    Fig 1.

    Twitter Analytics. The free Twitter Analytics page provides data for the account and for each individual tweet from the account over designated time periods that can be viewed on-line or exported to Excel (Microsoft, Redmond, Washington). Only the account user has access to this page. The exported data include impressions, engagements, URL clicks, retweets, likes, and all other metrics collected for this project.

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    Fig 2.

    Link clicks far exceed publicly visible metrics. For this AJNR Classic Case top tweet, there were only 9 retweets and 9 likes (A, black arrow and box), 2 publicly visible metrics. B, Twitter Analytics revealed that the link was clicked 134 times (black arrow and box), a metric only visible to the @TheAJNR Twitter account user and indicating a large silent-but-active following.

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    Table 1:

    Tweet metrics by typea

    Tweet Type No.VariableMeanSDMinMax
    AJNR case
     173URL clicks54.638.67205
    Retweets4.63.7019
    Likes4.94.6020
    Replies1.64.3033
    AJNR article
     366URL clicks18.118.00140
    Retweets5.04.9039
    Likes6.36.7059
    Replies1.54.3032
    Other
     362URL clicks7.39.4056
    Retweets1.52.0012
    Likes3.03.6022
    Replies0.71.7014
    • Note:–Min indicates minimum; Max, maximum

    • ↵a Across tweet-type categories, there was a significant difference among the mean URL-click-retweet differences (P < .001) and among the mean URL-click-like differences (P < .001), which was greater for cases compared with articles for both differences (P < .001). Within each tweet-type category, the mean number of URL clicks was significantly greater than that of retweets (P < .001) and likes (P < .001).

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    Table 2:

    Frequency of engagement (URL clicks) with cases and articles

    Frequency of Cases and Articles
    No. of URL ClicksNo. of Tweets%
    ≥2521539.9
    ≥509517.6
    ≥75488.9
    ≥100234.3
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American Journal of Neuroradiology: 40 (12)
American Journal of Neuroradiology
Vol. 40, Issue 12
1 Dec 2019
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Publicly Available Metrics Underestimate AJNR Twitter Impact and Follower Engagement
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Cite this article
C.M. Tomblinson, V. Wadhwa, E. Latimer, C.H. Gauss, J.L. McCarty
Publicly Available Metrics Underestimate AJNR Twitter Impact and Follower Engagement
American Journal of Neuroradiology Dec 2019, 40 (12) 1994-1997; DOI: 10.3174/ajnr.A6299

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Publicly Available Metrics Underestimate AJNR Twitter Impact and Follower Engagement
C.M. Tomblinson, V. Wadhwa, E. Latimer, C.H. Gauss, J.L. McCarty
American Journal of Neuroradiology Dec 2019, 40 (12) 1994-1997; DOI: 10.3174/ajnr.A6299
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