DOI: 10.1016/j.ebiom.2021.103
583 link

PMID: 34563923

OpenAlex ID: W3199504526

Category: Oncology

Title: Deep learning features from diffusion tensor imaging improve glioma stratification and identify risk groups with distinct molecular pathway activities

Authors: Jing Yan, Xianzhi Liu, Xiaofei Lv, Zhicheng Li, Zhenyu Zhang, Wenqing Wang, Zhen Liu, Xuanke Hong, Xiangxiang Wang, Yu Guo, Wencai Li, ... (26 authors, truncated)

Publishing Date: 01-Oct-2021

YCR = 2021  /  38  /  2.85 

Version 1.00            Year       /   Citations  /   Relative

Metric Value Date of Calculation

Citations count

38

30-May-2024

Relative

2.85

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: 15.39, 4.44, 3.67, 3.30, 3.01, 2.87, 2.39, 2.33, 2.07, 1.82, 1.75, 1.30, 1.14, 1.02, 1.00

Logic 2 Same Authors in Any Team: Good R-values of the same authors with any team in other papers: 1276, 158, 135, 126, 110, 109, 104, 98.78, 84.59, 66.22, 58.84, 52.80, 49.19, 48.64, 48.42, ... (7947 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: 7947

Article Expected CPY (Citations per Year): 4.44 Expected CPY Help

Article Actual CPY: 12.67 Actual CPY Help

Article Co-Citation FCR (Field Citation Rate): 6.68 FCR Help

Article Co-Citation Network Size: 2206 Co-Citation Network Size Help

Article Topics: Gliomas, Diffusion Magnetic Resonance Imaging, Radiomics in Medical Imaging Analysis Topics help

Article Keywords: Diffusion MRI Keywords Help

Journal: EBioMedicine

Journal IF-ycr: 8.019 Journal IF-ycr Help

Journal short code: NA

Journal ISSN: 2352-3964

Journal OA-ID: 2531685872

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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