DOI: 10.1261/rna.059592.116 link

PMID: 28396577

OpenAlex ID: W2605744470

Category: Oncology

Title: MicroRNA-27b functions as a new inhibitor of ovarian cancer-mediated vasculogenic mimicry through suppression of <i>VE-cadherin</i> expression

Authors: Wenming Liu, Chunping Lv, Bin Zhang, Quansheng Zhou, Zhifei Cao

Publishing Date: 10-Apr-2017

YCR = 2017  /  52  /  1.86 

Version 1.00            Year       /   Citations  /   Relative

Metric Value Date of Calculation

Citations count

52

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: 3.57, 1.46, 1.42, 1.38, 1.31, 1.26, 1.23, 1.21, 1.13

Logic 2 Same Authors in Any Team: Good R-values of the same authors with any team in other papers: 133, 99.05, 79.72, 70.97, 58.88, 56.01, 45.86, 35.57, 32.41, 32.34, 31.99, 29.55, 29.01, 28.18, 27.15, ... (1930 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: 1930

Article Expected CPY (Citations per Year): 3.99 Expected CPY Help

Article Actual CPY: 7.43 Actual CPY Help

Article Co-Citation FCR (Field Citation Rate): 5.04 FCR Help

Article Co-Citation Network Size: 6487 Co-Citation Network Size Help

Article Topics: Molecular Mechanisms of Angiogenesis and Vascular Function, MicroRNA Regulation in Cancer and Development, Biogenesis and Functions of Circular RNAs Topics help

Article Keywords: tumor vasculature, MicroRNAs Keywords Help

Journal: RNA

Journal IF-ycr: 2.563 Journal IF-ycr Help

Journal short code: NA

Journal ISSN: 1355-8382

Journal OA-ID: 187657468

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