• ISSN
  • 00831972
  • Open Access
  • -
  • Publisher
  • U.S. Dept. of Health, Education and Welfare, Public Health Service, Health Resources Administration, National Center for Health Statistics
  • Country/Region
  • United States
  • History
  • Categories
  • Medicine (miscellaneous) (Q1), Public Health, Environmental and Occupational Health (Q1), Statistics and Probability (Q1)

Vital and health statistics. Series 10, Data from the National Health Survey - ISSN

The ISSN of Vital and health statistics. Series 10, Data from the National Health Survey is 00831972. An ISSN is an 8-digit code used to identify newspapers, journals, magazines and periodicals of all kinds and on all media–print and electronic.

Vital and health statistics. Series 10, Data from the National Health Survey - ISSN

Vital and health statistics. Series 10, Data from the National Health Survey - Publisher

Vital and health statistics. Series 10, Data from the National Health Survey is published by U.S. Dept. of Health, Education and Welfare, Public Health Service, Health Resources Administration, National Center for Health Statistics, which is located in the United States. The Publication History of Vital and health statistics. Series 10, Data from the National Health Survey covers 1963-1965, 1976-2000, 2002-2014.

Vital and health statistics. Series 10, Data from the National Health Survey - Publisher

Vital and health statistics. Series 10, Data from the National Health Survey - Categories

Vital and health statistics. Series 10, Data from the National Health Survey is a peer-reviewed scientific journal. The scope of Vital and health statistics. Series 10, Data from the National Health Survey covers Medicine (miscellaneous) (Q1), Public Health, Environmental and Occupational Health (Q1), Statistics and Probability (Q1).

Vital and health statistics. Series 10, Data from the National Health Survey - Categories

Vital and health statistics. Series 10, Data from the National Health Survey - Journal Metrics

It is impossible to get a true picture of impact using a single metric alone, so a basket of metrics is needed to support informed decisions. In addition to Abbreviation, Acceptance Rate, Review Speed, Research Hotspot and Template, several advanced Journal Metrics including Citescore, H-Index, Self-Citation Ratio, SJR (SCImago Journal Rank Indicator) and SNIP (Source Normalized Impact per Paper) can provide you comprehensive insights into the Vital and health statistics. Series 10, Data from the National Health Survey.

Vital and health statistics. Series 10, Data from the National Health Survey - Journal Metrics

Vital and health statistics. Series 10, Data from the National Health Survey - Impact Factor

The Impact Factor 2018 of Vital and health statistics. Series 10, Data from the National Health Survey is still under caculation. The Impact Factor Quartile of Vital and health statistics. Series 10, Data from the National Health Survey is Q1. The Impact Factor (IF) or Journal Impact Factor (JIF) of an academic journal is a scientometric index that reflects the yearly average number of citations that recent articles published in a given journal received. It is frequently used as a proxy for the relative importance of a journal within its field; journals with higher impact factors are often deemed to be more important than those with lower ones. The Impact Factor measures the average number of citations received in a particular year (2018) by papers published in the journal during the two preceding years (2016-2017). Note that 2018 impact factors are reported in 2019; they cannot be calculated until all of the 2018 publications have been processed by the indexing agency. In addition to the 2-year Impact Factor, the 3-year Impact Factor and 5-year Impact Factor can provide further insights into the impact of Vital and health statistics. Series 10, Data from the National Health Survey.

 Impact Factor 2018-19


Vital and health statistics. Series 10, Data from the National Health Survey - Impact Factor Trend Prediction System

Impact Factor Trend Prediction System provides an open, transparent, and straightforward platform to help academic researchers Predict future journal impact and performance through the wisdom of crowds. Impact Factor Trend Prediction System displays the exact community-driven Data without secret algorithms, hidden factors, or systematic delay.

Vital and health statistics. Series 10, Data from the National Health Survey Impact Factor Trend Forecasting System
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  • Impact Factor 2016 -
  • Impact Factor 2015 -


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Journal Ranking