Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 Jul 6;22(7):e15607.
doi: 10.2196/15607.

The Use of Social Media to Increase the Impact of Health Research: Systematic Review

Affiliations

The Use of Social Media to Increase the Impact of Health Research: Systematic Review

Marco Bardus et al. J Med Internet Res. .

Abstract

Background: Academics in all disciplines increasingly use social media to share their publications on the internet, reaching out to different audiences. In the last few years, specific indicators of social media impact have been developed (eg, Altmetrics), to complement traditional bibliometric indicators (eg, citation count and h-index). In health research, it is unclear whether social media impact also translates into research impact.

Objective: The primary aim of this study was to systematically review the literature on the impact of using social media on the dissemination of health research. The secondary aim was to assess the correlation between Altmetrics and traditional citation-based metrics.

Methods: We conducted a systematic review to identify studies that evaluated the use of social media to disseminate research published in health-related journals. We specifically looked at studies that described experimental or correlational studies linking the use of social media with outcomes related to bibliometrics. We searched the Medical Literature Analysis and Retrieval System Online (MEDLINE), Excerpta Medica dataBASE (EMBASE), and Cumulative Index to Nursing and Allied Health Literature (CINAHL) databases using a predefined search strategy (International Prospective Register of Systematic Reviews: CRD42017057709). We conducted independent and duplicate study selection and data extraction. Given the heterogeneity of the included studies, we summarized the findings through a narrative synthesis.

Results: Of a total of 18,624 retrieved citations, we included 51 studies: 7 (14%) impact studies (answering the primary aim) and 44 (86%) correlational studies (answering the secondary aim). Impact studies reported mixed results with several limitations, including the use of interventions of inappropriately low intensity and short duration. The majority of correlational studies suggested a positive association between traditional bibliometrics and social media metrics (eg, number of mentions) in health research.

Conclusions: We have identified suggestive yet inconclusive evidence on the impact of using social media to increase the number of citations in health research. Further studies with better design are needed to assess the causal link between social media impact and bibliometrics.

Keywords: Altmetrics; bibliometrics; journal impact factor; research; social media; translational medical research.

PubMed Disclaimer

Conflict of interest statement

Conflicts of Interest: None declared.

Figures

Figure 1
Figure 1
PRISMA flow diagram. MEDLINE=Medical Literature Analysis and Retrieval System Online, EMBASE=Excerpta Medica dataBASE, CINAHL=Cumulative Index to Nursing and Allied Health Literature.

References

    1. Carr C, Hayes R. Social media: defining, developing, and divining. Atl J Commun. 2015 Feb 6;23(1):46–65. doi: 10.1080/15456870.2015.972282. - DOI
    1. Dol J, Tutelman PR, Chambers CT, Barwick M, Drake EK, Parker JA, Parker R, Benchimol EI, George RB, Witteman HO. Health researchers' use of social media: scoping review. J Med Internet Res. 2019 Nov 13;21(11):e13687. doi: 10.2196/13687. https://www.jmir.org/2019/11/e13687/ - DOI - PMC - PubMed
    1. O'Reilly T. What Is Web 2.0: Design Patterns and Business Models for the Next Generation of Software. O’Reilly Media Inc. 2005. [2016-11-28]. http://www.oreilly.com/pub/a/web2/archive/what-is-web-20.html.
    1. Kuruvilla S, Mays N, Pleasant A, Walt G. Describing the impact of health research: a research impact framework. BMC Health Serv Res. 2006 Oct 18;6:134. doi: 10.1186/1472-6963-6-134. https://bmchealthservres.biomedcentral.com/articles/10.1186/1472-6963-6-134 - DOI - DOI - PMC - PubMed
    1. Davidson PM, Newton PJ, Ferguson C, Daly J, Elliott D, Homer C, Duffield C, Jackson D. Rating and ranking the role of bibliometrics and webometrics in nursing and midwifery. ScientificWorldJournal. 2014;2014:135812. doi: 10.1155/2014/135812. doi: 10.1155/2014/135812. - DOI - DOI - PMC - PubMed

Publication types

LinkOut - more resources