A welcoming guide to social media for cytopathologists: Tips, tricks, and the best practices of social cytopathology

A healthcare social media research article published in CytoJournal, December 31, 2018

Title
A welcoming guide to social media for cytopathologists: Tips, tricks, and the best practices of social cytopathology
Authors (alpha)
Binnur Onal, Fikret Dirilenoglu
Published
December 31, 2018
Journal
CytoJournal
DOI
10.4103/cytojournal.cytojournal_1_18
Pubmed
30820234
Altmetric
A healthcare social media research article published in CytoJournal, December 31, 2018

Abstract

This guide provides an overview of social media (SoMe) use with the recent updates for the "cytopathologists and the ones interested in". Our aim was to introduce the basic terms and rules, the potential benefits and risks, and some tips and tricks for using SoMe. The two most popular SoMe platforms, Facebook and Twitter, were the focus of this article. Thus far, many pathologists have already proved how efficiently the SoMe services could be utilized; the same applies specifically to the community of cytopathology. In our opinion, the more CPs are involved in SoMe, the more connected, productive, and stronger the community will become.


Symplur Signals for Academic Research

Symplur Signals provides researchers with a simple research interface, rich datasets, powerful filtering, and algorithms with natural language processing capabilities optimized for our context of healthcare. Get access to up to 7 years of history from this trusted academic research platform.

Subscribe Now

Healthcare Social Media Research

See the full list of healthcare social media research articles with data from or reference to Symplur.
#hcsmR is a collaboration between Stanford Medicine X and Symplur.


Altmetric

The Altmetric Attention Score is based on the attention a research article gets on the internet. Each coloured thread in the circle represents a different type of online attention and the number in the centre is the Altmetric Attention Score. The score is calculated based on two main sources of online attention: social media and mainstream news media.