DOI: 10.15585/mmwr.mm6545a3 link
PMID: 27855138
OpenAlex ID: W2550336455
Category: Biomedical
Title: CDC Grand Rounds: A Public Health Approach to Detect and Control Hypertension
Authors: Rikita Merai, Claudia Siegel, Michael Rakotz, Peter Basch, Janet Wright, Betty Wong, Phoebe Thorpe
Publishing date: 18-Nov-2016
YCR = 2016 / 166 / 7.24
Version 1.00 Year / Citations / Relative
Metric | Value | Date of Calculation |
---|---|---|
Citations count |
166 |
30-May-2024 |
Relative |
7.24 |
04-Aug-2024 |
Article Expected CPY (Citations per Year): 2.87 Expected CPY Help
Article Actual CPY: 20.75 Actual CPY Help
Article Co-Citation FCR (Field Citation Rate): 3.36 FCR Help
Article Co-Citation Network Size: 7482 Co-Citation Network Size Help
Article Topics: Management of Hypertension and Cardiovascular Risk Factors, Role of Mediterranean Diet in Health Outcomes, Analysis and Applications of Heart Rate Variability Topics help
Article Keywords: Hypertension, Blood Pressure, Heart Rate Variability Keywords Help
Journal: Morbidity and mortality weekly report
Journal IF-ycr: 6.111 Journal IF-ycr Help
Journal short code: NA
Journal ISSN: 0149-2195
Journal OA-ID: 183158886
Expected CPY Help: Predicted citations per year for this article, derived from its Field Citation Rate (FCR) using a benchmark regression of NIH-funded papers. Values above actual CPY indicate under-performance; below indicate over-performance. Used as the denominator of the Relative Citation Ratio.
Back to topActual CPY Help: Average yearly citations the article has received from publication through the current year, adjusted for partial years. Used as the numerator of the Relative Citation Ratio.
Back to topFCR Help: Mean journal citation rate for all papers in the article's co-citation network. For each network paper we substitute its journal’s impact factor (calculated from open data) as a proxy for citations per year, then average these values. This captures the citation intensity of the article's immediate research field and forms the basis for computing expected CPY.
Back to topCo-Citation Network Size Help: Number of unique papers co-cited with this article by its citing papers; larger networks yield more stable field estimates when calculating FCR and expected CPY.
Back to topTopics Help: OpenAlex assigns topics to each paper with an AI model that considers the title, abstract, journal, and citation links. Tags are chosen from about 4,500 research areas, and the highest-confidence tag becomes the paper's primary topic. Every topic sits in a hierarchy of domain, field, and subfield, so you can see exactly where the work fits in the wider map of science.
Back to topKeywords Help: Keywords are generated automatically from the paper's assigned topics. The OpenAlex system selects candidate terms, then keeps up to five that match closely with the title or abstract. These keywords highlight specific concepts or methods and give a quick complement to the broader topic tags.
Back to topJournal IF-ycr Help: Journal IF-ycr is a two-year impact factor recalculated from OpenAlex's open citation data. For a given journal and year Y, we:
- Count citations made in year Y by any paper to items that the journal published in years Y-1 and Y-2 (excluding the current year).
- Divide that citation count by the number of articles the journal published in those same two years.