DOI: 10.1073/pnas.1210730109 link

PMID: 22904188

OpenAlex ID: W2124997477

Category: Biomedical

Title: Genetic and environmental risk factors in congenital heart disease functionally converge in protein networks driving heart development

Authors: Kasper Lage, Patricia K. Donahoe, Mark J. Daly, Jonathan G. Seidman, Christine E. Seidman, Lars Allan Larsen, William T. Pu, Alexandre C. Pereira, ... (20 authors, truncated)

Publishing Date: 16-Aug-2012

YCR = 2012  / 118 /  2.76 

Version 1.00            Year       /   Citations  /   Relative

Metric Value Date of Calculation

Citations count

118

30-May-2024

Relative

2.76

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: 14.52, 4.72, 2.59, 1.51

Logic 2 Same Authors in Any Team: Good R-values of the same authors with any team in other papers: 608, 460, 402, 349, 300, 289, 226, 214, 203, 203, 193, 192, 191, 158, 152, ... (1897 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: 1897

Article Expected CPY (Citations per Year): 3.57 Expected CPY Help

Article Actual CPY: 9.83 Actual CPY Help

Article Co-Citation FCR (Field Citation Rate): 5.55 FCR Help

Article Co-Citation Network Size: 9899 Co-Citation Network Size Help

Article Topics: Molecular Mechanisms of Cardiac Development and Regeneration, Epidemiology and Management of Congenital Heart Disease, Recommendations for Cardiac Chamber Quantification by Echocardiography Topics help

Article Keywords: Congenital Heart Disease, Congenital Heart Defects, Adult Congenital Heart Disease, Cardiac Progenitor Population, Fetal Cardiac Disease Keywords Help

Journal: Proceedings of the National Academy of Sciences of the United States of America

Journal IF-ycr: 9.264 Journal IF-ycr Help

Journal short code: NA

Journal ISSN: 0027-8424

Journal OA-ID: 125754415

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.

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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.

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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.

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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.

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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.

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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.

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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.

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