DOI: 10.1002/hep.28572 link

PMID: 27028797

OpenAlex ID: W2319085923

Category: Biomedical

Title: Gut microbiota profiling of pediatric nonalcoholic fatty liver disease and obese patients unveiled by an integrated meta‐omics‐based approach

Authors: Federica Del Chierico, Paola Paci, Giorgio Capuani, Bruno Dallapiccola, Alfredo Miccheli, Anna Alisi, Lorenza Putignani, Valério Nobili,... (14 authors, truncated)

Publishing date: 02-Jun-2016

YCR = 2016  / 541 /  18.13 

Version 1.00            Year       /   Citations  /   Relative

Metric Value Date of Calculation

Citations count

541

30-May-2024

Relative

18.13

04-Aug-2024

Article Expected CPY (Citations per Year): 3.73 Expected CPY Help

Article Actual CPY: 67.62 Actual CPY Help

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

Article Co-Citation Network Size: 52799 Co-Citation Network Size Help

Article Topics: Diversity and Function of Gut Microbiome, Epidemiology and Management of NAFLD, Advances in Metabolomics Research Topics help

Article Keywords: Obesity-associated Microbiome, NAFLD, Metabolomics, Dietary Impact, Metabolic Health Keywords Help

Journal: Hepatology

Journal IF-ycr: 5.810 Journal IF-ycr Help

Journal short code: NA

Journal ISSN: 0270-9139

Journal OA-ID: 156174673

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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