DOI: 10.1021/acs.est.5b02022 link

PMID: 31550139

OpenAlex ID: W2288616264

Category: Biomedical

Title: Adsorption of 4-<i>n</i>-Nonylphenol and Bisphenol-A on Magnetic Reduced Graphene Oxides: A Combined Experimental and Theoretical Studies

Authors: Jin Zhang, Xiangxue Wang, Yubing Sun, Yuejie Ai, Xiangke Wang

Publishing Date: 21-Jul-2015

YCR = 2015  / 433 /  14.18 

Version 1.00            Year       /   Citations  /   Relative

Metric Value Date of Calculation

Citations count

433

30-May-2024

Relative

14.18

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: 2.57, 1.09

Logic 2 Same Authors in Any Team: Good R-values of the same authors with any team in other papers: 41.46, 39.96, 26.06, 23.83, 17.86, 17.29, 13.76, 13.18, 12.79, 12.76, 12.61, 11.47, 11.08, 10.80, 10.48, ... (217 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: 217

Article Expected CPY (Citations per Year): 3.39 Expected CPY Help

Article Actual CPY: 48.11 Actual CPY Help

Article Co-Citation FCR (Field Citation Rate): 4.56 FCR Help

Article Co-Citation Network Size: 29947 Co-Citation Network Size Help

Article Topics: Graphene: Properties, Synthesis, and Applications, Biomedical Applications of Graphene Nanomaterials, Adsorption of Water Contaminants Topics help

Article Keywords: Adsorption, Biosorption, Graphene Oxide Keywords Help

Journal: Environmental science & technology

Journal IF-ycr: 5.099 Journal IF-ycr Help

Journal short code: NA

Journal ISSN: 0013-936X

Journal OA-ID: 13479253

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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