DOI: 10.1016/j.ejogrb.2017.11.
017 link

PMID: 29175130

OpenAlex ID: W2768256204

Category: Biomedical

Title: Urinary incontinence is strongly associated with depression in middle-aged and older Korean women: Data from the Korean longitudinal study of ageing

Authors: Young Mee Lim, Sa Ra Lee, Eun Ji Choi, Kyoung Sook Jeong, Hye Won Chung

Publishing Date: 01-Jan-2018

YCR = 2018  /  25  /  1.86 

Version 1.00            Year       /   Citations  /   Relative

Metric Value Date of Calculation

Citations count

25

30-May-2024

Relative

1.86

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: 1.77

Logic 2 Same Authors in Any Team: Good R-values of the same authors with any team in other papers: 10.01, 5.41, 5.19, 5.10, 4.93, 4.88, 4.81, 4.10, 3.45, 3.41, 3.37, 3.34, 3.19, 3.05, 3.01, ... (97 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: 97

Article Expected CPY (Citations per Year): 2.24 Expected CPY Help

Article Actual CPY: 4.17 Actual CPY Help

Article Co-Citation FCR (Field Citation Rate): 2.25 FCR Help

Article Co-Citation Network Size: 1146 Co-Citation Network Size Help

Article Topics: Pelvic Floor Disorders, Prevention and Treatment of Pressure Ulcers, Frailty in Older Adults and Geriatric Care Topics help

Article Keywords: Urinary Incontinence, Fecal Incontinence Keywords Help

Journal: European journal of obstetrics, gynecology, and reproductive biology/European journal of obstetrics & gynecology and reproductive biology

Journal IF-ycr: 1.185 Journal IF-ycr Help

Journal short code: NA

Journal ISSN: 0301-2115

Journal OA-ID: 17762386

Help

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 top

Actual 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 top

FCR 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 top

Co-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 top

Topics 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 top

Keywords 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 top

Journal 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:

  1. 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).
  2. Divide that citation count by the number of articles the journal published in those same two years.
This yields an impact factor analogue built entirely from open data, updated annually and used in the YCR workflow.

Back to top