Addictive Behaviors
最新影响因子 - 实时趋势预测 & 排名分区分析


最新

影响因子

2019-2020

3.645

23.0%

影响因子趋势分析

相关期刊

Addictive Behaviors

Addictive Behaviors 2019-2020 年的影响因子为3.645。

Addictive Behaviors Impact Factor
最高影响因子
3.645
最高影响因子 IF

近十年Addictive Behaviors的最高影响因子为3.645。

最低影响因子
2.021
最低影响因子 IF

近十年Addictive Behaviors的最低影响因子为2.021。

影响因子 总成长率
74.8%
影响因子 总成长率

近十年Addictive Behaviors的影响因子总成长率为74.8%。

影响因子 平均成长率
8.3%
影响因子 平均成长率

近十年Addictive Behaviors的影响因子平均成长率为8.3%。

影响因子排名分区

子领域 分区 排名 百分比
Psychiatry and Mental Health 1区 91/506

Psychiatry and Mental Health 82%

Clinical Psychology 1区 34/275

Clinical Psychology 87%

Medicine (miscellaneous) 1区 55/219

Medicine (miscellaneous) 75%

Toxicology 2区 38/116

Toxicology 67%

影响因子排名分区

· 在Psychiatry and Mental Health研究领域,Addictive Behaviors的分区数为1区。Addictive Behaviors在Psychiatry and Mental Health研究类别的506种相关期刊中排名第91。在Psychiatry and Mental Health领域,Addictive Behaviors的排名百分位约为82%。
· 在Clinical Psychology研究领域,Addictive Behaviors的分区数为1区。Addictive Behaviors在Clinical Psychology研究类别的275种相关期刊中排名第34。在Clinical Psychology领域,Addictive Behaviors的排名百分位约为87%。
· 在Medicine (miscellaneous)研究领域,Addictive Behaviors的分区数为1区。Addictive Behaviors在Medicine (miscellaneous)研究类别的219种相关期刊中排名第55。在Medicine (miscellaneous)领域,Addictive Behaviors的排名百分位约为75%。
· 在Toxicology研究领域,Addictive Behaviors的分区数为2区。Addictive Behaviors在Toxicology研究类别的116种相关期刊中排名第38。在Toxicology领域,Addictive Behaviors的排名百分位约为67%。

Addictive Behaviors Impact Factor 2020-2021 Prediction

Addictive Behaviors Impact Factor Predition System

Addictive Behaviors Impact Factor Prediction System is now online. You can start share your valuable insights with the community.

Predict Check All Preditions
出版物总数
6714
总引文数
302553

出版数量年度趋势

期刊引用年度趋势

国际合作趋势

引用文献趋势

影响因子历年数据分析

影响因子
影响因子
2019-2020 3.645
2018-2019 2.963
2017-2018 2.686
2016-2017 2.944
2015-2016 2.795
2014-2015 2.764
2013-2014 2.441
2012-2013 2.021
2011-2012 2.085
影响因子历年数据分析

· Addictive Behaviors 2019-2020年的影响因子为3.645
· Addictive Behaviors 2018-2019年的影响因子为2.963
· Addictive Behaviors 2017-2018年的影响因子为2.686
· Addictive Behaviors 2016-2017年的影响因子为2.944
· Addictive Behaviors 2015-2016年的影响因子为2.795
· Addictive Behaviors 2014-2015年的影响因子为2.764
· Addictive Behaviors 2013-2014年的影响因子为2.441
· Addictive Behaviors 2012-2013年的影响因子为2.021
· Addictive Behaviors 2011-2012年的影响因子为2.085

出版物引用数趋势分析

出版数量 引用数量
出版数量 引用数量
1975 9 12
1976 29 34
1977 31 96
1978 36 174
1979 52 234
1980 46 381
1981 53 445
1982 59 508
1983 61 522
1984 61 714
1985 58 905
1986 59 956
1987 53 1085
1988 58 1213
1989 77 1339
1990 69 1567
1991 63 1789
1992 65 1851
1993 69 1958
1994 64 2038
1995 75 2020
1996 80 2208
1997 82 2306
1998 92 2818
1999 93 3122
2000 99 3640
2001 79 3827
2002 74 4482
2003 139 4857
2004 194 5875
2005 181 6924
2006 229 8713
2007 302 9601
2008 186 11277
2009 179 12640
2010 206 13325
2011 239 14452
2012 229 16529
2013 243 18291
2014 305 19461
2015 325 20325
2016 258 19175
2017 349 17710
2018 393 16556
2019 446 19098
2020 354 23249
2021 211 2251
出版物引用数趋势分析

· Addictive Behaviors于1975年发表了9篇报告,并取得12篇引用文献。
· Addictive Behaviors于1976年发表了29篇报告,并取得34篇引用文献。
· Addictive Behaviors于1977年发表了31篇报告,并取得96篇引用文献。
· Addictive Behaviors于1978年发表了36篇报告,并取得174篇引用文献。
· Addictive Behaviors于1979年发表了52篇报告,并取得234篇引用文献。
· Addictive Behaviors于1980年发表了46篇报告,并取得381篇引用文献。
· Addictive Behaviors于1981年发表了53篇报告,并取得445篇引用文献。
· Addictive Behaviors于1982年发表了59篇报告,并取得508篇引用文献。
· Addictive Behaviors于1983年发表了61篇报告,并取得522篇引用文献。
· Addictive Behaviors于1984年发表了61篇报告,并取得714篇引用文献。
· Addictive Behaviors于1985年发表了58篇报告,并取得905篇引用文献。
· Addictive Behaviors于1986年发表了59篇报告,并取得956篇引用文献。
· Addictive Behaviors于1987年发表了53篇报告,并取得1085篇引用文献。
· Addictive Behaviors于1988年发表了58篇报告,并取得1213篇引用文献。
· Addictive Behaviors于1989年发表了77篇报告,并取得1339篇引用文献。
· Addictive Behaviors于1990年发表了69篇报告,并取得1567篇引用文献。
· Addictive Behaviors于1991年发表了63篇报告,并取得1789篇引用文献。
· Addictive Behaviors于1992年发表了65篇报告,并取得1851篇引用文献。
· Addictive Behaviors于1993年发表了69篇报告,并取得1958篇引用文献。
· Addictive Behaviors于1994年发表了64篇报告,并取得2038篇引用文献。
· Addictive Behaviors于1995年发表了75篇报告,并取得2020篇引用文献。
· Addictive Behaviors于1996年发表了80篇报告,并取得2208篇引用文献。
· Addictive Behaviors于1997年发表了82篇报告,并取得2306篇引用文献。
· Addictive Behaviors于1998年发表了92篇报告,并取得2818篇引用文献。
· Addictive Behaviors于1999年发表了93篇报告,并取得3122篇引用文献。
· Addictive Behaviors于2000年发表了99篇报告,并取得3640篇引用文献。
· Addictive Behaviors于2001年发表了79篇报告,并取得3827篇引用文献。
· Addictive Behaviors于2002年发表了74篇报告,并取得4482篇引用文献。
· Addictive Behaviors于2003年发表了139篇报告,并取得4857篇引用文献。
· Addictive Behaviors于2004年发表了194篇报告,并取得5875篇引用文献。
· Addictive Behaviors于2005年发表了181篇报告,并取得6924篇引用文献。
· Addictive Behaviors于2006年发表了229篇报告,并取得8713篇引用文献。
· Addictive Behaviors于2007年发表了302篇报告,并取得9601篇引用文献。
· Addictive Behaviors于2008年发表了186篇报告,并取得11277篇引用文献。
· Addictive Behaviors于2009年发表了179篇报告,并取得12640篇引用文献。
· Addictive Behaviors于2010年发表了206篇报告,并取得13325篇引用文献。
· Addictive Behaviors于2011年发表了239篇报告,并取得14452篇引用文献。
· Addictive Behaviors于2012年发表了229篇报告,并取得16529篇引用文献。
· Addictive Behaviors于2013年发表了243篇报告,并取得18291篇引用文献。
· Addictive Behaviors于2014年发表了305篇报告,并取得19461篇引用文献。
· Addictive Behaviors于2015年发表了325篇报告,并取得20325篇引用文献。
· Addictive Behaviors于2016年发表了258篇报告,并取得19175篇引用文献。
· Addictive Behaviors于2017年发表了349篇报告,并取得17710篇引用文献。
· Addictive Behaviors于2018年发表了393篇报告,并取得16556篇引用文献。
· Addictive Behaviors于2019年发表了446篇报告,并取得19098篇引用文献。
· Addictive Behaviors于2020年发表了354篇报告,并取得23249篇引用文献。
· Addictive Behaviors于2021年发表了211篇报告,并取得2251篇引用文献。
· Addictive Behaviors的总出版物为6714。
· Addictive Behaviors的总引用为302553。

Addictive Behaviors
基本资讯
Addictive Behaviors | Academic Accelerator - About the Journal

介绍

Addictive Behaviors is an international peer-reviewed journal publishing high quality human research on addictive behaviors and disorders since 1975. The journal accepts submissions of full-length papers and short communications on substance-related addictions such as the abuse of alcohol, drugs and nicotine, and behavioral addictions involving gambling and technology. We primarily publish behavioral and psychosocial research but our articles span the fields of psychology, sociology, psychiatry, epidemiology, social policy, medicine, pharmacology and neuroscience. While theoretical orientations are diverse, the emphasis of the journal is primarily empirical. That is, sound experimental design combined with valid, reliable assessment and evaluation procedures are a requisite for acceptance. However, innovative and empirically oriented case studies that might encourage new lines of inquiry are accepted as well. Studies that clearly contribute to current knowledge of etiology, prevention, social policy or treatment are given priority. Scholarly commentaries on topical issues, systematic reviews, and mini reviews are encouraged. We especially welcome multimedia papers that incorporate video or audio components to better display methodology or findings.Studies can also be submitted to Addictive Behaviors? companion title, the open access journal Addictive Behaviors Reports, which has a particular interest in 'non-traditional', innovative and empirically-oriented research such as negative/null data papers, replication studies, case reports on novel treatments, and cross-cultural research. None

ISSN
0306-4603
ISSN

Addictive Behaviors的ISSN是 0306-4603 ISSN是一个8位数的代码,用于识别各种报纸,期刊,杂志和期刊以及所有媒体 - 包括印刷版和电子版。

ISSN (Online)
-
ISSN (Online)

Addictive Behaviors的ISSN(Online)是 - . ISSN是一个8位数的代码,用于识别各种报纸,期刊,杂志和期刊以及所有媒体 - 包括印刷版和电子版。

出版社
Elsevier Ltd.
出版社

Addictive Behaviors的出版社是 Elsevier Ltd.

出版频率
Quarterly
出版频率

Addictive Behaviors publishes reports Quarterly .

出版年度
1975 - Present
出版年度

Addictive Behaviors的出版年度包含 1975 - Present .

开放存取
NO
开放存取

Addictive Behaviors传统订阅 (non-OA) 期刊。出版商拥有其期刊中文章的版权。任何想要阅读文章的人都应该由个人或机构支付费用来访问这些文章。任何人想以任何方式使用这些文章都必须获得出版商的许可。

出版费
Review
出版费

There is no publication fee for submiting manuscript to Addictive Behaviors. Addictive Behaviors is Subscription-based (non-OA) Journal. Publishers own the rights to the articles in their journals. Anyone who wants to read the articles should pay by individual or institution to access the articles.

语言
English
语言

The language of Addictive Behaviors is English .

国家/地区
United Kingdom
国家/地区

The publisher of Addictive Behaviors is Elsevier Ltd. , which locates in United Kingdom .

What is Impact Factor?

The impact factor (IF) or journal impact factor (JIF) of an academic journal is a scientometric index calculated by Clarivate that reflects the yearly average number of citations of articles published in the last two years in a given journal. It is frequently used as a proxy for the relative importance of a journal within its field; journals with higher impact factor values are often deemed to be more important, or carry more intrinsic prestige in their respective fields, than those with lower values.

Addictive Behaviors | Academic Accelerator - About the Impact Factor

Impact factor is commonly used to evaluate the relative importance of a journal within its field and to measure the frequency with which the “average article” in a journal has been cited in a particular time period. Journal which publishes more review articles will get highest IFs. Journals with higher IFs believed to be more important than those with lower ones. According to Eugene Garfield “impact simply reflects the ability of the journals and editors to attract the best paper available.” Journal which publishes more review articles will get maximum IFs. The Impact Factor of an academic journal is a scientometric Metric that reflects the yearly average number of citations that recent articles published in a given journal received. It is frequently used as a Metric for the relative importance of a journal within its field; journals with higher Impact Factor are often deemed to be more important than those with lower ones. The Addictive Behaviors Impact Factor IF measures the average number of citations received in a particular year (2020) by papers published in the Addictive Behaviors during the two preceding years (2018-2019). Note that 2020 Impact Factor are reported in 2021; they cannot be calculated until all of the 2020 publications have been processed by the indexing agency. New journals, which are indexed from their first published issue, will receive an impact factor after two years of indexing; in this case, the citations to the year prior to Volume 1, and the number of articles published in the year prior to Volume 1, are known zero values. Journals that are indexed starting with a volume other than the first volume will not get an impact factor until they have been indexed for three years. Occasionally, Journal Citation Reports assigns an impact factor to new journals with less than two years of indexing, based on partial citation data. The calculation always uses two complete and known years of item counts, but for new titles one of the known counts is zero. Annuals and other irregular publications sometimes publish no items in a particular year, affecting the count. The impact factor relates to a specific time period; it is possible to calculate it for any desired period. In addition to the 2-year Impact Factor, the 3-year Impact Factor, 4-year Impact Factor, 5-year Impact Factor, Real-Time Impact Factor can provide further insights and factors into the impact of Addictive Behaviors.

History

The impact factor was devised by Eugene Garfield, the founder of the Institute for Scientific Information (ISI). Impact factors are calculated yearly starting from 1975 for journals listed in the Journal Citation Reports (JCR). ISI was acquired by Thomson Scientific & Healthcare in 1992, and became known as Thomson ISI. In 2018, Thomson ISI was sold to Onex Corporation and Baring Private Equity Asia. They founded a new corporation, Clarivate, which is now the publisher of the JCR.

Use

The impact factor is used to compare different journals within a certain field. The Web of Science indexes more than 11,500 science and social science journals. Journal impact factors are often used to evaluate the merit of individual articles and individual researchers. This use of impact factors was summarised by Hoeffel:

Impact Factor is not a perfect tool to measure the quality of articles but there is nothing better and it has the advantage of already being in existence and is, therefore, a good technique for scientific evaluation. Experience has shown that in each specialty the best journals are those in which it is most difficult to have an article accepted, and these are the journals that have a high impact factor. Most of these journals existed long before the impact factor was devised. The use of impact factor as a measure of quality is widespread because it fits well with the opinion we have in each field of the best journals in our specialty....In conclusion, prestigious journals publish papers of high level. Therefore, their impact factor is high, and not the contrary.

Eugene Garfield

In brief, Impact factors may be used by:
  • Authors to decide where to submit an article for publication.
  • Libraries to make collection development decisions
  • Academic departments to assess academic productivity
  • Academic departments to make decisions on promotion and tenure.
As impact factors are a journal-level metric, rather than an article- or individual-level metric, this use is controversial. Garfield agrees with Hoeffel,but warns about the "misuse in evaluating individuals" because there is "a wide variation [of citations] from article to article within a single journal". Other things to consider about Impact Factors:
  • Many journals do not have an impact factor.
  • The impact factor cannot assess the quality of individual articles. Even if citations were evenly distributed among articles, the impact factor would only measure the interests of other researchers in an article, not its importance and usefulness.
  • Only research articles, technical notes and reviews are “citable” items. Editorials, letters, news items and meeting abstracts are “non-citable items”.
  • Only a small percentage of articles are highly cited and they are found in a small subset of journals. This small proportion accounts for a large percentage of citations.
  • Controversial papers, such as those based on fraudulent data, may be highly cited, distorting the impact factor of a journal.
  • Citation bias may exist. For example, English language resources may be favoured. Authors may cite their own work.
Moreover, informed and careful use of these impact data is essential, and should be based on a thorough understanding of the methodology used to generate impact factors. There are controversial aspects of using impact factors:
  • It is not clear whether the number of times a paper is cited measures its actual quality.
  • Some databases that calculate impact factors fail to incorporate publications including textbooks, handbooks and reference books.
  • Certain disciplines have low numbers of journals and usage. Therefore, one should only compare journals or researchers within the same discipline.
  • Review articles normally are cited more often and therefore can skew results.
  • Self-citing may also skew results.
  • Some resources used to calculate impact factors have inadequate international coverage.
  • Editorial policies can artificially inflate an impact factor.
Impact factors have often been used in advancement and tenure decision-making. Many recognize that this is a coarse tool for such important decisions, and that a multitude of factors should be taken into account in these deliberations. When considering the use of the impact factor (IF), keep these aspects in mind:
  • IF analysis is limited to citations from the journals indexed by the Web of Science/Web of Knowledge. Currently, the Web of Science indexes only 8621 journals across the full breadth of the sciences, and just 3121 in the social sciences.
  • A high IF/citation rate says nothing about the quality -- or even, validity -- of the references being cited. Notorious or even retracted articles often attract a lot of attention, hence a high number of citations. The notority related to the first publication on "cold fusion" is one such example.
  • Journals that publish more "review articles" are often found near the top of the rankings. While not known for publishing new, creative findings, these individual articles tend to be heavily cited.
  • The IF measures the average number of citations to articles in the journal -- given this, a small number of highly-cited articles will skew the figure.
  • It takes several years for new journals to be added to the list of titles indexed by the Web of Science/Web of Knowledge, so these newer titles will be under-represented.
  • It's alleged that journal editors have learned to "game" the system, encouraging authors to cite their works previously published in the same journal.
Comparing Journals Across Disciplines? Not a good idea! Using Impact Factors within a given discipline should only be done with great care, as described above. Using impact factor data to compare journals across disciplines is even more problematic. Here are some of the reasons:
  • Disciplines where older literature is still referenced, such as Chemistry and Mathematics, offer challenges to the methodolgy since older citations (older than two years) are not used to calculate the impact factor for a given journal. (Five-year impact factor analysis, which can be calculated using the Journal Citation Index database, helps smooth out this problem only to some degree.)
  • Different disciplines have different practices regarding tendency to cite larger numbers of references. Higher overall citation rates will bump upward impact factor measurements.
  • Where it's common for large numbers of authors to collaborate on a single paper, such as in Physics, the tendency of authors to cite themselves (and in this case, more authors) will result in increased citation rates.

Pros and Cons of the Impact Factor

Pros:

  • A vetted, established metric for measuring journal impact within a discipline.
  • Designed to eliminate bias based on journal size and frequency.
Cons:
  • Individual articles makes an uneven contribution to overall Impact Factor.
  • Impact Factor does not account for certain things, things like context (postive or negative citaion) and intentionality (self-citation).
  • The metric is proprietary to and bound by the contents of the Thomson Reuters database.
  • Citations, on which the Impact Factor is based, count for less than 1% of an article's overall use.

Criticism

Numerous critiques have been made regarding the use of impact factors. A 2007 study noted that the most fundamental flaw is that impact factors present the mean of data that are not normally distributed, and suggested that it would be more appropriate to present the median of these data. There is also a more general debate on the validity of the impact factor as a measure of journal importance and the effect of policies that editors may adopt to boost their impact factor (perhaps to the detriment of readers and writers). Other criticism focuses on the effect of the impact factor on behavior of scholars, editors and other stakeholders. Others have made more general criticisms, arguing that emphasis on impact factor results from negative influence of neoliberal policies on academia claiming that what is needed is not just replacement of the impact factor with more sophisticated metrics for science publications but also discussion on the social value of research assessment and the growing precariousness of scientific careers in higher education.
Experts stress that there are limitations in using impact factors to evaluate a scholar's work. There are many reasons cited for not relying on impact factor alone to evaluate the output of a particular individual. Among these are the following:

  • A single factor is not sufficient for evaluating an author's work.
  • Journal values are meaningless unless compared within the same discipline. Impact factors vary among disciplines.
  • The impact factor was originally devised to show the impact of a specific journal, not a specific scholar. The quality and impact of the author's work may extend beyond the impact of a particular journal.
According to Jim Testa, a researcher for ThomsonReuters Scientific, the most widespread misuse of the Impact Factor is to evaluate the work of an individual author (instead of a journal). "To say that because a researcher is publishing in a certain journal, he or she is more influential or deserves more credit is not necessarily true. There are many other variables to consider." (interview 6/26/2008 in Thomson Reuters blog entry)

什么是影响因子?

影响因子(IF)经常用作表明期刊对其领域重要性的指标。它是由科学信息研究所的创始人Eugene Garfield首次提出的。尽管IF被机构和临床医生广泛使用,但是人们对于IF日记的计算方法,其意义以及如何利用它存在着广泛的误解。期刊的影响因子与同行评议过程的质量和期刊的内容质量等因素无关,而是一种反映对期刊,书籍,论文,项目报告,报纸上发表的文章的平均引用次数的度量,会议/研讨会论文集,在互联网上发布的文件,说明以及任何其他批准的文件。

Addictive Behaviors | Academic Accelerator - About the Impact Factor

影响因子通常用于评估期刊在其领域内的相对重要性,以及衡量期刊在特定时间段内引用“平均文章”的频率。发表更多评论文章的期刊将获得最高的IF。 IF较高的期刊被认为比IF较低的期刊更重要。根据尤金·加菲尔德(Eugene Garfield)的说法,“影响只是反映期刊和编辑吸引最佳论文的能力。”发表更多评论文章的期刊将获得最大的IF。

Selected Articles

Full Title Authors
Full Title Authors
The relationship among depressive symptoms, urgency, and problematic alcohol and cannabis use in community adults - 2019 Miji Um · Alexandra R. Hershberger · Melissa A. Cyders
Simultaneous alcohol and marijuana use among underage young adults in the United States - 2019 Megan E. Patrick · Yvonne M. Terry-McElrath · Christine M. Lee · John E. Schulenberg
Alcohol mixed with energy drink use during young adulthood - 2018 Megan E. Patrick · Phil Veliz · Ashley N. Linden-Carmichael · Yvonne M. Terry-McElrath
Organizational downsizing and alcohol use: A national study of U.S. workers during the Great Recession - 2018 Michael R. Frone
Electrophysiological activity is associated with vulnerability of Internet addiction in non-clinical population - 2018 Grace Y. Wang · Inga Griskova-Bulanova
Mindfulness-based interventions modulate structural network strength in patients with opioid dependence - 2018 Reham Fahmy · Maha Wasfi · Rania Mamdouh · Kareem Moussa · Ahmed Wahba · Miriam Wittemann · Dusan Hirjak · Katharina M. Kubera · Nadine D. Wolf · Robert Christian Wolf
Trends in self-efficacy to quit and smoking urges among homeless smokers participating in a smoking cessation RCT - 2018 Erika A. Pinsker · Deborah J. Hennrikus · Darin J. Erickson · Kathleen Thiede Call · Jean L. Forster · Kolawole S. Okuyemi
Collecting outcome data of a text messaging smoking cessation intervention with in-program text assessments: How reliable are the results? - 2018 Johannes Thrul · Judith Mendel · Samuel J. Simmens · Lorien C. Abroms
Development and initial testing of the brief adolescent smoking curiosity scale (ASCOS) - 2018 Georges E. Khalil · Karen S. Calabro · Alexander V. Prokhorov