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이 학술지의 논문 검색
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The Evolution of BioSense: Lessons Learned and Future Directions
Deborah W. Gould; David Walker; Paula W. Yoon U.S.Dept. of Health, Education, and Welfare, Public Health Service,Health Resources Administration 2017 p.7S-11S
Helen E. Hughes; Thomas C. Hughes; Aaron Haile; Gillian E. Smith; Brian McCloskey; Brian McCloskey U.S.Dept. of Health, Education, and Welfare, Public Health Service,Health Resources Administration 2017 p.12S-15S
Cynthia Lucero-Obusan; Carla A. Winston; Patricia L. Schirmer; Gina Oda; Mark Holodniy U.S.Dept. of Health, Education, and Welfare, Public Health Service,Health Resources Administration 2017 p.16S-22S
Advancing the Use of Emergency Department Syndromic Surveillance Data, New York City, 2012-2016
Ramona Lall; Jasmine Abdelnabi; Stephanie Ngai; Hilary B. Parton; Kelly Saunders; Jessica Sell; Amanda Wahnich; Don Weiss; Robert W. Mathes U.S.Dept. of Health, Education, and Welfare, Public Health Service,Health Resources Administration 2017 p.23S-30S
Jessica R. White; Vjollca Berisha; Kathryn Lane; Henri Ménager; Aaron Gettel; Carol R. Braun U.S.Dept. of Health, Education, and Welfare, Public Health Service,Health Resources Administration 2017 p.31S-39S
Laurel Harduar Morano; Anna E. Waller U.S.Dept. of Health, Education, and Welfare, Public Health Service,Health Resources Administration 2017 p.40S-47S
Nancy VanStone; Adam van Dijk; Timothy Chisamore; Brian Mosley; Geoffrey Hall; Paul Belanger; Kieran Michael Moore U.S.Dept. of Health, Education, and Welfare, Public Health Service,Health Resources Administration 2017 p.48S-52S
Risk of Fall-Related Injury due to Adverse Weather Events, Philadelphia, Pennsylvania, 2006-2011
Kathryn Gevitz; Robbie Madera; Claire Newbern; José Lojo; Caroline C. Johnson U.S.Dept. of Health, Education, and Welfare, Public Health Service,Health Resources Administration 2017 p.53S-58S
Kelley Bemis; Mabel Frias; Megan Toth Patel; Demian Christiansen U.S.Dept. of Health, Education, and Welfare, Public Health Service,Health Resources Administration 2017 p.59S-64S
SJR(SCImago Journal Rank)는 스페인 Consejo Superior de Investigaciones Cintificas의 Felix de Moya 교수에 의해 개발된 것으로, '모든 인용은 동등하지 않다'는 전제를 기반으로 둔 학술지의 영향력 지수입니다.
구글의 Page Rank 알고리즘의 영향을 받아 전체 인용 네트워크에서 노드에 점수를 매기는 방식으로, 명성이 높은 저널에서의 인용은 고득점으로 평가되어 같은 인용이라도 보다 높게 평가 됩니다. 또한 저널의 주제분야, 질과 명성이 모두 직접 영향을 미치는 평가 지료라고 할 수 있습니다.
Scopus 데이터의 인용정보를 활용하여 산출되며, Scopus에 등재되지 않은 OA 저널평가에도 유용합니다.