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Volumn 131, Issue 13, 2015, Pages e395-

Letter by Djuricich and Madanick regarding article, "A randomized trial of social media from circulation"

Author keywords

[No Author keywords available]

Indexed keywords

HUMAN; INTERNET; LETTER; MEDICAL EDUCATION; MEDICAL LITERATURE; PRIORITY JOURNAL; RANDOMIZED CONTROLLED TRIAL (TOPIC); SOCIAL MEDIA; SOCIAL NETWORK; JOURNAL IMPACT FACTOR; PUBLICATION; TRENDS;

EID: 84929317701     PISSN: 00097322     EISSN: 15244539     Source Type: Journal    
DOI: 10.1161/CIRCULATIONAHA.115.015128     Document Type: Letter
Times cited : (2)

References (5)
  • 2
    • 84929356991 scopus 로고    scopus 로고
    • Can social media increase medical journal article readership?
    • Accessed December 24, 2014
    • Aase L. Can social media increase medical journal article readership? Social Media Health Network blog. http://network.socialmedia.mayo-clinic.org/discussion/can-social-media-increase-medical-journal-article-readership/. Accessed December 24, 2014.
    • Social Media Health Network Blog
    • Aase, L.1
  • 3
    • 84939874430 scopus 로고    scopus 로고
    • Technology in medical education: Osler meets Watson
    • Colbert JA, Chokshi DA. Technology in medical education: Osler meets Watson. J Gen Intern Med. 2014;29:1584-1585. doi: 10.1007/s11606-014-2975-x.
    • (2014) J Gen Intern Med , vol.29 , pp. 1584-1585
    • Colbert, J.A.1    Chokshi, D.A.2
  • 4
    • 84929356992 scopus 로고    scopus 로고
    • Accessed December 24, 2014
    • #MedEd transcript from November 20, 2014. https://drive.google.com/file/d/0ByRfWmxlYdoYbFBGWXM5WUtJdU0/view. Accessed December 24, 2014.
    • #MedEd Transcript from November 20, 2014
  • 5
    • 84891788053 scopus 로고    scopus 로고
    • The gateway to journal improvements
    • First LR, Kemper AR, Larson K, Puskarz J. The gateway to journal improvements. Pediatrics. 2014;133:129-130. doi: 10.1542/peds.2013-3458.
    • (2014) Pediatrics , vol.133 , pp. 129-130
    • First, L.R.1    Kemper, A.R.2    Larson, K.3    Puskarz, J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.