DOI: 10.1016/j.clineuro.2020.105
892 link
PMID: 32416324
OpenAlex ID: W3022553995
Category: Biomedical
Title: Prediction of early neurological deterioration in acute minor ischemic stroke by machine learning algorithms
Authors: Sang Min Sung, Yoon Jung Kang, Han Jin Cho, Nae Ri Kim, Suk Min Lee, Byung Kwan Choi, Giphil Cho
Publishing Date: 01-Aug-2020
YCR = 2020 / 31 / 2.50
Version 1.00 Year / Citations / Relative
Metric | Value | Date of Calculation |
---|---|---|
Citations count |
31 |
30-May-2024 |
Relative |
2.50 |
04-Aug-2024 |
Same Authors in Other Papers:
Logic 1 Same First Author: A first author detected by OpenAlex algorithm with possibility of multiple first authors. Good R-values of the same first author(s) as a first author(s) in other papers: no data (not found)
Logic 2 Same Authors in Any Team: Good R-values of the same authors with any team in other papers: 9.97, 6.00, 5.75, 4.37, 3.59, 3.56, 3.32, 3.24, 3.20, 3.13, 3.09, 3.03, 3.00, 2.82, 2.78, ... (93 found, truncated)
Same Authors Duplicates: duplicates across 2 logical groups are not added up in the final calculation, duplicates are shown with asterisk*.
Same Authors Total Good R-values: same authors total good non-duplicated R-values for above 2 logical groups: 93
Article Expected CPY (Citations per Year): 3.09 Expected CPY Help
Article Actual CPY: 7.75 Actual CPY Help
Article Co-Citation FCR (Field Citation Rate): 3.85 FCR Help
Article Co-Citation Network Size: 1655 Co-Citation Network Size Help
Article Topics: Epidemiology and Management of Stroke, Diagnosis and Treatment of Carotid Artery Disease, Principles and Interventions in Stroke Rehabilitation Topics help
Article Keywords: Neural Plasticity Keywords Help
Journal: Clinical neurology and neurosurgery
Journal IF-ycr: 1.833 Journal IF-ycr Help
Journal short code: NA
Journal ISSN: 0303-8467
Journal OA-ID: 165396890
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.