DOI: 10.1097/iae.0000000000002
181 link
PMID: 29689030
OpenAlex ID: W2918950605
Category: Oncology
Title: CHECKPOINT INHIBITOR IMMUNE THERAPY
Authors: Lauren A. Dalvin, Carol L. Shields, Marlana Orloff, Takami Sato, Jerry A. Shields
Publishing date: 01-Jun-2018
YCR = 2018 / 251 / 13.04
Version 1.00 Year / Citations / Relative
Metric | Value | Date of Calculation |
---|---|---|
Citations count |
251 |
30-May-2024 |
Relative |
13.04 |
04-Aug-2024 |
Article Expected CPY (Citations per Year): 3.21 Expected CPY Help
Article Actual CPY: 41.83 Actual CPY Help
Article Co-Citation FCR (Field Citation Rate): 3.72 FCR Help
Article Co-Citation Network Size: 16383 Co-Citation Network Size Help
Article Topics: Cancer Immunotherapy, Ocular Cancer Research and Treatment, Management of Brain Metastases in Cancer Patients Topics help
Article Keywords: Immune Checkpoint Blockade, Immune-related Adverse Events, Biomarkers for Immunotherapy, Intraocular Chemotherapy Keywords Help
Journal: Retina
Journal IF-ycr: 2.654 Journal IF-ycr Help
Journal short code: NA
Journal ISSN: 0275-004X
Journal OA-ID: 19572933
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.