论文引用贡献指标:论文影响评价的文章引用贡献指标

IF 3.4 3区 医学 Q2 CLINICAL NEUROLOGY
Kristine Kuo
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Treating a journal as an independent scientific community, each paper can be viewed as a community member, with ACCI>0 indicating that the paper’s academic impact has a greater impact than the community average, while ACCI<0 indicates that the paper’s academic findings, innovations, spreading and impact are below the community average. The ACCI ranges theoretically in [-1, infinity], with ACCI=-1 for papers with zero citations after publication. Subjects and Methods For purpose of exploring the positive (or negative) effects of an author’s single article on the improvement of journal impact factor, we proposed the ACCI. It is defined as a specific value to calculate the contribution of a single paper to its discipline or journal, its equation is shown as below: (1) $$ACCI=\\frac{c_y-{JIF}_y}{JIF_y}$$ C y refers to the number of citations of an article in present JCR year; and JIF indicates the Journal Impact Factor in present JCR year. Then the differences between C y and JIF taking up of the total JIF in present JCR year is the value of ACCI. Results It can be calculated that the value of ACCI is -1 when the paper has 0 citation. The value range of ACCI is theoretically in [-1,+∞). When ACCI∈[-1,0), it indicates that the article has a lower value than the average citation level or has brought negative effect on JIF; and when ACCI∈(0,+∞), it indicates that the article citations is higher than average level and has brought a positive contribution in terms of citations. Furthermore, its innovation, new discoveries contribute higher level than other papers. Hereafter, we might treat each journal as a specific scientific community in its field. Let’s have an example to compute any article. We retrieved the article as below: Abdelmageed, S. and T. Zayed, A study of literature in modular integrated construction - Critical review and future directions. Journal of Cleaner Production , 2020. 277. DOI:10.1016/j.jclepro.2020.124044. The article was published in 2020, and the total cites received in 2021 and 2022 was 13 and 24. The 2021 and 2022 Impact Factor of Journal of Cleaner Production were both 11.1, thus ACCI-1(Contributing Factor) = (13-11.1)/11.1 = +0.17, ACCI-2(Contributing Factor) = (24-11.1)/11.1 = +1.16. This paper had brought positive effect on the JIF. This paper had been higher citations in influence than others. Conclusions The ACCI is an important index for scholars to carry out research and academic journal editors to select proper papers. For authors, who can use ACCI to categorize articles from a particular journal or in a particular year, the articles that ACCI>0 would fell into positive group, then use other bibliometric tools to mine the specific scientific view. And for academic journal editors, the author’s citing performance can be reflected by their ACCI report. Therefore, the bibliometric index-Article Citation Contribution Indicator (ACCI) is a new article evaluation tool in bibliometrics. Each paper published in journal with JIF will have two ACCI index values, CF-1 and CF-2. The information behind CF index will bring us different analysis. It is also an indicator for university subjects evaluation, scientific research management and academic contribution measurement in some field, which is an important index reflecting the academic level of a certain discipline. The Contrimetric can be statistically used to classify articles for finding important papers and is an innovative member of the metrics family.","PeriodicalId":10505,"journal":{"name":"CNS Spectrums","volume":null,"pages":null},"PeriodicalIF":3.4000,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Contrimetric: Article Citation Contribution Indicator for paper impact evaluation\",\"authors\":\"Kristine Kuo\",\"doi\":\"10.1017/s1092852923006181\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background The Journal Impact Factor (JIF), generated by Eugene Garfield in 1964, is a well-known and widely accepted indicator for evaluating journal influence when scholar submit their papers to different periodicals. Different paper has its own citation performance after published online. Thus, the JIF is always changing in each year when times updates. This paper introduces a newly designed bibliometric indicator, Article Citation Contribution Indicator (ACCI), named as Contrimetric (from Contribution Metric). The indicator meets the criteria as it has special characteristics, such as easy to understand, open, innovating, and applicable to different publications. Based on the Journal Impact Factor (JIF), the ACCI is a new indicator that measures the impact of individual papers within a specific journal. Treating a journal as an independent scientific community, each paper can be viewed as a community member, with ACCI>0 indicating that the paper’s academic impact has a greater impact than the community average, while ACCI<0 indicates that the paper’s academic findings, innovations, spreading and impact are below the community average. The ACCI ranges theoretically in [-1, infinity], with ACCI=-1 for papers with zero citations after publication. Subjects and Methods For purpose of exploring the positive (or negative) effects of an author’s single article on the improvement of journal impact factor, we proposed the ACCI. It is defined as a specific value to calculate the contribution of a single paper to its discipline or journal, its equation is shown as below: (1) $$ACCI=\\\\frac{c_y-{JIF}_y}{JIF_y}$$ C y refers to the number of citations of an article in present JCR year; and JIF indicates the Journal Impact Factor in present JCR year. Then the differences between C y and JIF taking up of the total JIF in present JCR year is the value of ACCI. Results It can be calculated that the value of ACCI is -1 when the paper has 0 citation. The value range of ACCI is theoretically in [-1,+∞). When ACCI∈[-1,0), it indicates that the article has a lower value than the average citation level or has brought negative effect on JIF; and when ACCI∈(0,+∞), it indicates that the article citations is higher than average level and has brought a positive contribution in terms of citations. Furthermore, its innovation, new discoveries contribute higher level than other papers. Hereafter, we might treat each journal as a specific scientific community in its field. Let’s have an example to compute any article. We retrieved the article as below: Abdelmageed, S. and T. Zayed, A study of literature in modular integrated construction - Critical review and future directions. Journal of Cleaner Production , 2020. 277. DOI:10.1016/j.jclepro.2020.124044. The article was published in 2020, and the total cites received in 2021 and 2022 was 13 and 24. The 2021 and 2022 Impact Factor of Journal of Cleaner Production were both 11.1, thus ACCI-1(Contributing Factor) = (13-11.1)/11.1 = +0.17, ACCI-2(Contributing Factor) = (24-11.1)/11.1 = +1.16. This paper had brought positive effect on the JIF. This paper had been higher citations in influence than others. Conclusions The ACCI is an important index for scholars to carry out research and academic journal editors to select proper papers. For authors, who can use ACCI to categorize articles from a particular journal or in a particular year, the articles that ACCI>0 would fell into positive group, then use other bibliometric tools to mine the specific scientific view. And for academic journal editors, the author’s citing performance can be reflected by their ACCI report. Therefore, the bibliometric index-Article Citation Contribution Indicator (ACCI) is a new article evaluation tool in bibliometrics. Each paper published in journal with JIF will have two ACCI index values, CF-1 and CF-2. The information behind CF index will bring us different analysis. It is also an indicator for university subjects evaluation, scientific research management and academic contribution measurement in some field, which is an important index reflecting the academic level of a certain discipline. The Contrimetric can be statistically used to classify articles for finding important papers and is an innovative member of the metrics family.\",\"PeriodicalId\":10505,\"journal\":{\"name\":\"CNS Spectrums\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2023-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"CNS Spectrums\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1017/s1092852923006181\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"CNS Spectrums","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1017/s1092852923006181","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0

摘要

期刊影响因子(Journal Impact Factor, JIF)是尤金·加菲尔德(Eugene Garfield)于1964年提出的,是学者向不同期刊投稿时评估期刊影响力的一个广为人知且被广泛接受的指标。不同的论文在网上发表后,其引用表现各不相同。因此,随着时间的更新,JIF每年都会发生变化。本文介绍了一种新设计的文献计量指标——文章引用贡献指标(ACCI),命名为Contrimetric (from Contribution Metric)。该指标具有易懂、开放、创新、适用于不同出版物等特点,符合标准。基于期刊影响因子(JIF), ACCI是衡量特定期刊中个别论文影响的新指标。将期刊视为一个独立的科学共同体,每一篇论文都可以被视为一个共同体的成员,ACCI&gt;0表示该论文的学术影响力大于共同体平均水平,而ACCI&lt;0表示该论文的学术发现、创新、传播和影响力低于共同体平均水平。ACCI的理论范围为[-1,无穷大],发表后零引用的论文ACCI=-1。为了探讨作者单篇文章对期刊影响因子提升的正面(或负面)影响,我们提出了期刊影响因子指数。定义为计算单篇论文对所属学科或期刊的贡献的具体数值,其公式如下:(1)$$ACCI=\frac{c_y-{JIF}_y}{JIF_y}$$ C y为该JCR年度某篇文章的被引次数;JIF表示当前JCR年度的期刊影响因子。则当前JCR年的总JIF中,cy与JIF之差即为ACCI值。结果当论文被引次数为0时,ACCI值为-1。理论上,ACCI的取值范围为[-1,+∞)。当ACCI∈[-1,0)时,表示该文章低于平均被引水平或对JIF产生了负面影响;当ACCI∈(0,+∞)时,表示文章被引用次数高于平均水平,在被引用次数方面带来了正贡献。此外,其创新、新发现贡献水平高于其他论文。今后,我们可能会把每份期刊视为其领域内的一个特定科学团体。让我们举一个计算任何条目的例子。Abdelmageed, S.和T. Zayed,模块化集成建筑的文献研究-批判性回顾和未来方向。清洁生产学报,2020。277. DOI:10.1016/j.j jclepro.2020.124044。文章发表于2020年,2021年和2022年收到的引用总数分别为13篇和24篇。《清洁生产学报》2021年和2022年的影响因子均为11.1,即ACCI-1(贡献因子)= (13-11.1)/11.1 = +0.17,ACCI-2(贡献因子)=(24-11.1)/11.1 = +1.16。本文对JIF产生了积极的影响。这篇论文的引用率比其他论文高。结论ACCI是学者开展研究和学术期刊编辑选择论文的重要指标。对于作者来说,可以使用ACCI对某一期刊或某一年份的文章进行分类,将ACCI为0的文章归为正组,然后使用其他文献计量工具来挖掘特定的科学观点。而对于学术期刊编辑来说,作者的被引绩效可以通过其ACCI报告来反映。因此,文献计量指标——文章引用贡献指标(ACCI)是文献计量学中一种新的文章评价工具。每篇发表在JIF期刊上的论文将有两个ACCI索引值,CF-1和CF-2。CF指数背后的信息会给我们带来不同的分析。也是高校学科评价、科研管理和某一领域学术贡献衡量的指标,是反映某一学科学术水平的重要指标。结构度量可以用于统计分类文章,以找到重要的论文,是度量家族的创新成员。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Contrimetric: Article Citation Contribution Indicator for paper impact evaluation
Background The Journal Impact Factor (JIF), generated by Eugene Garfield in 1964, is a well-known and widely accepted indicator for evaluating journal influence when scholar submit their papers to different periodicals. Different paper has its own citation performance after published online. Thus, the JIF is always changing in each year when times updates. This paper introduces a newly designed bibliometric indicator, Article Citation Contribution Indicator (ACCI), named as Contrimetric (from Contribution Metric). The indicator meets the criteria as it has special characteristics, such as easy to understand, open, innovating, and applicable to different publications. Based on the Journal Impact Factor (JIF), the ACCI is a new indicator that measures the impact of individual papers within a specific journal. Treating a journal as an independent scientific community, each paper can be viewed as a community member, with ACCI>0 indicating that the paper’s academic impact has a greater impact than the community average, while ACCI<0 indicates that the paper’s academic findings, innovations, spreading and impact are below the community average. The ACCI ranges theoretically in [-1, infinity], with ACCI=-1 for papers with zero citations after publication. Subjects and Methods For purpose of exploring the positive (or negative) effects of an author’s single article on the improvement of journal impact factor, we proposed the ACCI. It is defined as a specific value to calculate the contribution of a single paper to its discipline or journal, its equation is shown as below: (1) $$ACCI=\frac{c_y-{JIF}_y}{JIF_y}$$ C y refers to the number of citations of an article in present JCR year; and JIF indicates the Journal Impact Factor in present JCR year. Then the differences between C y and JIF taking up of the total JIF in present JCR year is the value of ACCI. Results It can be calculated that the value of ACCI is -1 when the paper has 0 citation. The value range of ACCI is theoretically in [-1,+∞). When ACCI∈[-1,0), it indicates that the article has a lower value than the average citation level or has brought negative effect on JIF; and when ACCI∈(0,+∞), it indicates that the article citations is higher than average level and has brought a positive contribution in terms of citations. Furthermore, its innovation, new discoveries contribute higher level than other papers. Hereafter, we might treat each journal as a specific scientific community in its field. Let’s have an example to compute any article. We retrieved the article as below: Abdelmageed, S. and T. Zayed, A study of literature in modular integrated construction - Critical review and future directions. Journal of Cleaner Production , 2020. 277. DOI:10.1016/j.jclepro.2020.124044. The article was published in 2020, and the total cites received in 2021 and 2022 was 13 and 24. The 2021 and 2022 Impact Factor of Journal of Cleaner Production were both 11.1, thus ACCI-1(Contributing Factor) = (13-11.1)/11.1 = +0.17, ACCI-2(Contributing Factor) = (24-11.1)/11.1 = +1.16. This paper had brought positive effect on the JIF. This paper had been higher citations in influence than others. Conclusions The ACCI is an important index for scholars to carry out research and academic journal editors to select proper papers. For authors, who can use ACCI to categorize articles from a particular journal or in a particular year, the articles that ACCI>0 would fell into positive group, then use other bibliometric tools to mine the specific scientific view. And for academic journal editors, the author’s citing performance can be reflected by their ACCI report. Therefore, the bibliometric index-Article Citation Contribution Indicator (ACCI) is a new article evaluation tool in bibliometrics. Each paper published in journal with JIF will have two ACCI index values, CF-1 and CF-2. The information behind CF index will bring us different analysis. It is also an indicator for university subjects evaluation, scientific research management and academic contribution measurement in some field, which is an important index reflecting the academic level of a certain discipline. The Contrimetric can be statistically used to classify articles for finding important papers and is an innovative member of the metrics family.
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来源期刊
CNS Spectrums
CNS Spectrums 医学-精神病学
CiteScore
6.20
自引率
6.10%
发文量
239
审稿时长
>12 weeks
期刊介绍: CNS Spectrums covers all aspects of the clinical neurosciences, neurotherapeutics, and neuropsychopharmacology, particularly those pertinent to the clinician and clinical investigator. The journal features focused, in-depth reviews, perspectives, and original research articles. New therapeutics of all types in psychiatry, mental health, and neurology are emphasized, especially first in man studies, proof of concept studies, and translational basic neuroscience studies. Subject coverage spans the full spectrum of neuropsychiatry, focusing on those crossing traditional boundaries between neurology and psychiatry.
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