For all you researchers out there, we’ve just launched a new project in collaboration with Stanford Medicine X to further research in healthcare social media.
What we have created is a public hub for all things healthcare social media research and Symplur. Here you will find:
- A searchable database of published journal articles in healthcare social media
- An email signup for receiving updates on newly published research
- Information about past and future opportunities for you with Stanford Medicine X | Symplur Signals Research Challenge
The database is powerful for exploring past research and looking for works to reference and cite. You can search for specific topics, authors, journals or even rank the articles by Impact Factor. Selecting an individual article will reveal more information including DOI, PubMed, Altmetric and APA style citation.
Shortly after launching the Healthcare Hashtag Project over 6 years ago we got approached by academia wanting to do research in this area together with us. That was the start of our internal data mining capabilities. Then, about 3 years ago, we made our private analysis tools available to all 3rd parties through our Symplur Signals platform.
Today, we’re proud to have had world-renowned universities, government organizations and individual researchers use our platform in their research endeavors. We’re now counting over 150 published journal articles and 50 other publications including academic books using or referencing Symplur data.
Yet there is so much more to discover in these datasets and communities. There are voices here waiting to be heard, with insight and experience yet to be properly understood by those who can take action. Let’s continue our efforts in searching for and giving strength to the quiet voices.
BTW. We’ve nicknamed this project #hcsmR, but this hashtag seems to be good for all general discussions on this subject. Spread the word :)
Symplur Signals promotes deep understanding of healthcare as seen by patients, doctors and other stakeholders with real-time access to insights from over a billion healthcare social media data points.
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