#InSituPathologists: how the #USCAP2015 meeting went viral on Twitter and founded the social media movement for the United States and ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-02

AUTHORS

David Cohen, Timothy Craig Allen, Serdar Balci, Philip T Cagle, Julie Teruya-Feldstein, Samson W Fine, Dibson D Gondim, Jennifer L Hunt, Jack Jacob, Kimberly Jewett, Xiaoyin ‘Sara’ Jiang, Keith J Kaplan, Ibrahim Kulac, Rashna Meunier, Nicole D Riddle, Patrick S Rush, Jennifer Stall, Lauren N Stuart, David Terrano, Ed Uthman, Matthew J Wasco, Sean R Williamson, Roseann I Wu, Jerad M Gardner

ABSTRACT

Professional medical conferences over the past five years have seen an enormous increase in the use of Twitter in real-time, also known as "live-tweeting". At the United States and Canadian Academy of Pathology (USCAP) 2015 annual meeting, 24 attendees (the authors) volunteered to participate in a live-tweet group, the #InSituPathologists. This group, along with other attendees, kept the world updated via Twitter about the happenings at the annual meeting. There were 6,524 #USCAP2015 tweets made by 662 individual Twitter users; these generated 5,869,323 unique impressions (potential tweet-views) over a 13-day time span encompassing the dates of the annual meeting. Herein we document the successful implementation of the first official USCAP annual meeting live-tweet group, including the pros/cons of live-tweeting and other experiences of the original #InSituPathologists group members. No prior peer-reviewed publications to our knowledge have described in depth the use of an organized group to "live-tweet" a pathology meeting. We believe our group to be the first of its kind in the field of pathology. More... »

PAGES

160

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/modpathol.2016.223

DOI

http://dx.doi.org/10.1038/modpathol.2016.223

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1041078498

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/28084341


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/modpathol.2016.223'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/modpathol.2016.223'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/modpathol.2016.223'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/modpathol.2016.223'


 

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