DOI: 10.1097/inf.0000000000003
328 link
PMID: 34870392
OpenAlex ID: W4225999880
Category: Biomedical
Title: How Common is Long COVID in Children and Adolescents?
Authors: Petra Zimmermann, Laure F Pittet, Nigel Curtis
Publishing date: 16-Sep-2021
YCR = 2021 / 204 / 14.19
Version 1.00 Year / Citations / Relative
Metric | Value | Date of Calculation |
---|---|---|
Citations count |
204 |
30-May-2024 |
Relative |
14.19 |
04-Aug-2024 |
Article Expected CPY (Citations per Year): 4.79 Expected CPY Help
Article Actual CPY: 68.00 Actual CPY Help
Article Co-Citation FCR (Field Citation Rate): 7.26 FCR Help
Article Co-Citation Network Size: 10761 Co-Citation Network Size Help
Article Topics: Neurological Manifestations of COVID-19 Infection, Molecular Mechanisms of Inflammasome Activation and Regulation, Coronavirus Disease 2019 Topics help
Article Keywords: Long COVID Keywords Help
Journal: The Pediatric infectious disease journal/The pediatric infectious disease journal
Journal IF-ycr: 2.987 Journal IF-ycr Help
Journal short code: NA
Journal ISSN: 0891-3668
Journal OA-ID: 109369870
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.