Accepted Manuscript Social Media Metrics and Bibliometric Profiles of Neurosurgical Departments and Journals: Is There a Relationship? Naif M. Alotaibi, M.D., Daipayan Guha, M.D., Aria Fallah, M.D., M.S.c., Abdulrahman Aldakkan, M.D., Farshad Nassiri, M.D., Jetan H. Badhiwala, M.D., George M. Ibrahim, M.D., Ph.D., Mohammed F. Shamji, M.D., Ph.D., R. Loch Macdonald, M.D., Ph.D., Andres M. Lozano, MD, Ph.D. PII:
S1878-8750(16)00175-3
DOI:
10.1016/j.wneu.2016.01.087
Reference:
WNEU 3691
To appear in:
World Neurosurgery
Received Date: 14 December 2015 Revised Date:
26 January 2016
Accepted Date: 27 January 2016
Please cite this article as: Alotaibi NM, Guha D, Fallah A, Aldakkan A, Nassiri F, Badhiwala JH, Ibrahim GM, Shamji MF, Macdonald RL, Lozano AM, Social Media Metrics and Bibliometric Profiles of Neurosurgical Departments and Journals: Is There a Relationship?, World Neurosurgery (2016), doi: 10.1016/j.wneu.2016.01.087. This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
Alotaibi
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Title: Social Media Metrics and Bibliometric Profiles of Neurosurgical Departments
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and Journals: Is There a Relationship?
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Authors: Naif M Alotaibi, M.D.1,2,3, Daipayan Guha, M.D.1,2, Aria Fallah, M.D.,
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M.S.c.4, Abdulrahman Aldakkan, M.D.1,5, Farshad Nassiri, M.D.1, Jetan H Badhiwala,
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M.D.1, George M Ibrahim, M.D., Ph.D.1, Mohammed F Shamji, M.D., Ph.D. 1,6, R.
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Loch Macdonald, M.D., Ph.D. 1,7, Andres M Lozano, MD, Ph.D.1,6
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Affiliations: 1
Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
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Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
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Department of Neurosurgery, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
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Division of Neurosurgery, King Saud University, Riyadh, Saudi Arabia.
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Division of Neurosurgery, Toronto Western Hospital, Toronto, Ontario, Canada.
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Division of Neurosurgery, St Michael's Hospital, Toronto, Ontario, Canada
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Department of Neurosurgery, National Neuroscience Institute, King Fahad Medical City, Riyadh, Saudi Arabia.
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Corresponding Author:
Andres M Lozano, MD, Ph.D
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Professor and Dan Family Chairman of Neurosurgery University of Toronto
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RR Tasker Chair in Functional Neurosurgery, Toronto Western Hospital
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Senior Scientist, Toronto Western Research Institute
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399 Bathurst St., WW 4-447 Toronto, ON M5T 2S8
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Tel: (416) 603-5800 ext. 3712 Fax: (416) 603-5298 Email:
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Submission: Ms. Ref. No.: WNS-15-1710 - World Neurosurgery - Revised
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Manuscript word count: 1880
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Title character count: 114
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Figures: 0
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Tables: 6
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Supplementary tables: 2
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Keywords: Social Media; Neurosurgery; Bibliometric,
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INTRODUCTION Social media is a relatively recent online phenomenon, encompassing text and multimedia-based communication. With the recent surge in use of social media
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networks, the association between social media metrics and academic productivity for
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institutions, journals and individual researchers has become a topic of interest. Our
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research group recently published a descriptive analysis of the current use of social
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media in neurosurgery and found important variability in popularity of social media
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networks across different neurosurgical institutions, journals, and societies.1
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However, the association of this variability on academic productivity has yet to be
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determined.
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Herein, we report an exploratory analysis to investigate the relationship between social media metrics and academic indices of neurosurgical programs and
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journals with a focus on both cranial and spine surgery. In the current academic
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climate, this is especially important given the emphasis placed on productivity within
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neurosurgical departments and recently-identified associations between social media
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visibility and measures of academic impact, such as journal citations.1-3
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METHODS
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Social Media Accounts Here, we utilized a comprehensive two-stage search strategy in order to
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determine the number of social media accounts for academic neurosurgical
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departments and journals. The full details of the search strategy have been previously
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published.1 Briefly, the first stage involved an online search using Facebook and
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Twitter search engines in November 2015 using the following general keywords in
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combination: "neurosurgery, neurosurgical, neurological, neurology, brain, spine,
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official websites for academic neurosurgical departments that were accredited by the
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Accreditation Council for Graduate Medical Education (ACGME) and the Royal
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College of Physicians and Surgeons of Canada (RCPSC), were searched for external
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links to dedicated Facebook and Twitter.
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For journals, we searched the SCImago Journal and Country Rank website
(http://www.scimagojr.com/ ) with the above mentioned keywords to identify those
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journals focused on neurosurgery and spine. SCImago includes the journals and
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country scientific indicators reflective of the data from the Scopus Database.
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Social Media Metrics
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The following data were collected from each social media account identified:(1) metrics of attendance/popularity, the number of “likes” for Facebook
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pages, and “followers” for Twitter accounts; and (2) metrics of account activity and
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engagement, the "number of tweets", "twitter likes" or "favorite", as well as the
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"Klout score". The Klout score is a social media engagement metric between 1-100
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that measures Twitter's accounts influence on social networks (https://klout.com). 4, 5
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Academic Metrics
After identifying all official social media accounts for neurosurgical
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departments and journals, we extracted academic productivity indices of US and
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Canadian neurosurgical programs from recently published data.6, 7 We included the
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following metrics: ih(5)-index, summed h-index, total publications and number of
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citations. Definitions of these metrics are detailed in the original publications.6-8 For
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journals, we included the most updated numbers for h index and SCImago Journal
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Rank (SJR) indicator as listed in their website. SJR indicator was selected instead of
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the Thomson Reuters's Impact Factor because it was available to all our screened
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journals.
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Statistical Analysis
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Statistical analysis was performed only for departments with a
bibliometric profile listed in Taylor et al /Lozano et al publications and for all journals
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that had SJR indicator/h-index. 6, 7 The mean, median, standard deviation (SD) and
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interquartile range (IQR) for social media metrics were calculated. Our statistical
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approach acknowledged that our data violated assumptions for parametric analysis,
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which has been previously described in studies involving social media metrics. 3, 9, 10
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For this reason, we performed non-parametric tests with bootstrapping to evaluate: (1)
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if there were any differences in academic indices of departments and journals based
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on their presence on social media (Mann- Whitney U test), and (2) to look for
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correlation between social media and academic metrics among departments and
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journals that were present on social media (Spearman's rank-order correlation test).
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Bootstrapping is a distribution-independent resampling method for data with
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insufficient sample size and complicated distribution. The strength of the relationship
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was described by the correlation coefficient. P values are based on two-sided tests and
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values less than 0.05 were considered significant. All statistical analyses were
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performed with SPSS version 21 (IBM SPSS Statistics, Chicago, IL).
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RESULTS Social Media and Academic Metrics
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Academic departments: There were 119 programs accredited by the
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ACGME and RCPSC. Our search yielded 36 social media accounts officially
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affiliated with academic neurosurgical institutions (20 Facebook, and 16 Twitter).
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Fourteen departments had both Facebook and Twitter accounts, 6 departments with
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Facebook accounts, and 2 departments with Twitter account. These accounts
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represented 22 out of 119 neurosurgical programs in North America (18.4%). One
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hundred and four departments had bibliometric profiles listed in Taylor et al/Lozano
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et al publications.6, 7 Fifteen departments (All without social media presence except
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one) were excluded from our analysis as they were not listed among departments with
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academic metrics. Supplementary table 1 shows all 119 academic departments that
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were included or excluded from our analysis.
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The total number of likes on Facebook was 23,997 (mean: 1199.85, SD:
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1368.9, range: 208-6085, median: 793, IQR 865) and total number of followers on
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Twitter was 13,121 (mean: 874.7, range: 66-2071, SD: 618, median: 650, IQR 900).
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All departments with both social media and academic metrics in neurosurgery are
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shown in Table 1. University of Southern California was the most followed
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department on Facebook and Twitter, followed by University of Toronto on Facebook
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and University of Texas Health Science Center, San Antonio on Twitter. All eligible
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social media accounts in our analysis belonged to US programs except one account
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from Canada (University of Toronto).
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Journals: We identified 38 journals in the SCImago Journal and Country Rank website with interest in neurosurgery and spine surgery. All journals had
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screened journals. Eleven out of 38 screened neurosurgical journals (28.9%) had
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social media accounts (11 Facebook, and 11 Twitter). The total number of likes on
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Facebook was 50,157 (mean: 4559.7, SD: 4892.8, range: 28-16500, median: 3410,
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IQR 3371) and total number of followers on Twitter was 31,906 (mean: 2900.5, SD:
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2635.4, range: 10-8290, median: 3672, IQR 3956). All neurosurgical and spine
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journals with both social media and academic metrics are shown in Table 2.
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Associations among social media metrics and bibliometric profiles
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Academic departments: As mentioned above, 15 departments were
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excluded. Therefore, 104 departments were compared against each other based on
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social media presence. The presence of a social media account for departments was
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associated with statistically significantly higher values of academic impact metrics
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(ih(5)-index, summed h-index, total publications, and total citations) on Mann-
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Whitney U test (Table 3). Among the 21 departments with both types of metrics,
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none of the social metrics had statistically-significant correlation values with any of
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the academic indices; the number of tweets had the most positive correlation values
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with academic metrics. Table 4 shows Spearman's rank-order correlation test values
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for all metrics in our analysis.
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Journals: Journals with social media accounts had significantly higher values
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of H-index and SJR on Mann-Whitney U test (P