DOI: 10.3389/fphar.2022.918505 link

PMID: 36176455

OpenAlex ID: W4296598270

Category: Biomedical

Title: Active Peptide AR-9 From Eupolyphaga sinensis Reduces Blood Lipid and Hepatic Lipid Accumulation by Restoring Gut Flora and Its Metabolites in a High ...

Authors: Hong Wang, Shaoping Wang, Pingping Dong, Xin Liu, Zhen Zhang, Huajian Li, Yanan Li, Jiayu Zhang, Long Dai

Publishing Date: 13-Sep-2022

YCR = 2022  /   8   /  1.90 

Version 1.00            Year       /   Citations  /   Relative

Metric Value Date of Calculation

Citations count

8

30-May-2024

Relative

1.90

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: 46.14*, 15.05, 11.17, 8.04, 6.91, 6.68, 6.53, 6.39, 6.23, 5.56, 5.07, 5.00, 4.96, 4.84, 4.82, ... (195 found, truncated)

Logic 2 Same Authors in Any Team: Good R-values of the same authors with any team in other papers: 348, 112, 84.43, 46.14*, 38.62, 34.39, 33.13, 26.20, 22.07, 21.99, 19.94, 18.38, 17.36, 17.34, 16.96, ... (2312 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: 2312

Article Expected CPY (Citations per Year): 2.11 Expected CPY Help

Article Actual CPY: 4.00 Actual CPY Help

Article Co-Citation FCR (Field Citation Rate): 3.53 FCR Help

Article Co-Citation Network Size: 608 Co-Citation Network Size Help

Article Topics: Advances in Metabolomics Research, Potential of Edible Insects as Food and Feed, Bioactive Peptides in Food and Health Topics help

Article Keywords: Bioactive Peptides, ACE Inhibitory Peptides, Lipidomics Keywords Help

Journal: Frontiers in pharmacology

Journal IF-ycr: 5.245 Journal IF-ycr Help

Journal short code: Front. pharmacol.

Journal ISSN: 1663-9812

Journal OA-ID: 132108250

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