DOI: 10.1093/bib/bbw139 link
PMID: 28077403
OpenAlex ID: W2577490495
Category: Biomedical
Title: Gene co-expression analysis for functional classification and gene–disease predictions
Authors: Sipko van Dam, Urmo Võsa, Adriaan van der Graaf, Lude Franke, João Pedro de Magalhães
Publishing date: 10-Jan-2017
YCR = 2017 / 735 / 23.41
Version 1.00 Year / Citations / Relative
Metric | Value | Date of Calculation |
---|---|---|
Citations count |
735 |
30-May-2024 |
Relative |
23.41 |
04-Aug-2024 |
Article Expected CPY (Citations per Year): 4.48 Expected CPY Help
Article Actual CPY: 105.00 Actual CPY Help
Article Co-Citation FCR (Field Citation Rate): 5.85 FCR Help
Article Co-Citation Network Size: 54262 Co-Citation Network Size Help
Article Topics: Analysis of Gene Interaction Networks, Regulation of RNA Processing and Function, Microarray Data Analysis and Gene Expression Profiling Topics help
Article Keywords: Co-expression Networks, Gene Expression, Gene Set Enrichment Analysis Keywords Help
Journal: Briefings in bioinformatics
Journal IF-ycr: 4.596 Journal IF-ycr Help
Journal short code: NA
Journal ISSN: 1467-5463
Journal OA-ID: 91767247
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.