Journal of Neural Transmission
最新影响因子 - 实时趋势预测 & 排名分区分析


最新

影响因子

2020-2021

3.575

2.0%

影响因子趋势分析

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Highly Cited Articles

Journal of Neural Transmission

High Impact Research Articles
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Highly Cited Keywords

Journal of Neural Transmission

High Impact Research Keywords

相关期刊

Journal of Neural Transmission

Journal of Neural Transmission 2020-2021 年的影响因子为3.575。

Journal of Neural Transmission Impact Factor
最高影响因子
3.575
最高影响因子 IF

近十年Journal of Neural Transmission的最高影响因子为3.575。

最低影响因子
2.392
最低影响因子 IF

近十年Journal of Neural Transmission的最低影响因子为2.392。

影响因子 总成长率
31.0%
影响因子 总成长率

近十年Journal of Neural Transmission的影响因子总成长率为31.0%。

影响因子 平均成长率
3.1%
影响因子 平均成长率

近十年Journal of Neural Transmission的影响因子平均成长率为3.1%。

影响因子排名分区

子领域 分区 排名 百分比
Psychiatry and Mental Health 1区 59/502

Psychiatry and Mental Health 88%

Neurology (clinical) 1区 60/343

Neurology (clinical) 82%

Neurology 1区 31/156

Neurology 80%

Biological Psychiatry 2区 14/38

Biological Psychiatry 64%

影响因子排名分区

· 在Psychiatry and Mental Health研究领域,Journal of Neural Transmission的分区数为1区。Journal of Neural Transmission在Psychiatry and Mental Health研究类别的502种相关期刊中排名第59。在Psychiatry and Mental Health领域,Journal of Neural Transmission的排名百分位约为88%。
· 在Neurology (clinical)研究领域,Journal of Neural Transmission的分区数为1区。Journal of Neural Transmission在Neurology (clinical)研究类别的343种相关期刊中排名第60。在Neurology (clinical)领域,Journal of Neural Transmission的排名百分位约为82%。
· 在Neurology研究领域,Journal of Neural Transmission的分区数为1区。Journal of Neural Transmission在Neurology研究类别的156种相关期刊中排名第31。在Neurology领域,Journal of Neural Transmission的排名百分位约为80%。
· 在Biological Psychiatry研究领域,Journal of Neural Transmission的分区数为2区。Journal of Neural Transmission在Biological Psychiatry研究类别的38种相关期刊中排名第14。在Biological Psychiatry领域,Journal of Neural Transmission的排名百分位约为64%。

Journal of Neural Transmission Impact Factor 2021-2022 Prediction

Journal of Neural Transmission Impact Factor Predition System

Journal of Neural Transmission Impact Factor Prediction System is now online. You can start share your valuable insights with the community.

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出版物总数
6942
总引文数
215761

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
2020-2021 3.575
2019-2020 3.505
2018-2019 2.903
2017-2018 2.779
2016-2017 2.392
2015-2016 2.587
2014-2015 2.402
2013-2014 2.871
2012-2013 3.052
2011-2012 2.73
影响因子历年数据分析

· Journal of Neural Transmission 2020-2021年的影响因子为3.575
· Journal of Neural Transmission 2019-2020年的影响因子为3.505
· Journal of Neural Transmission 2018-2019年的影响因子为2.903
· Journal of Neural Transmission 2017-2018年的影响因子为2.779
· Journal of Neural Transmission 2016-2017年的影响因子为2.392
· Journal of Neural Transmission 2015-2016年的影响因子为2.587
· Journal of Neural Transmission 2014-2015年的影响因子为2.402
· Journal of Neural Transmission 2013-2014年的影响因子为2.871
· Journal of Neural Transmission 2012-2013年的影响因子为3.052
· Journal of Neural Transmission 2011-2012年的影响因子为2.73

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
1949 0 2
1950 39 1
1951 74 30
1952 86 95
1953 121 178
1954 87 106
1955 87 194
1956 69 123
1957 92 199
1958 83 250
1959 32 170
1960 69 264
1961 39 224
1962 73 177
1963 25 106
1964 77 268
1965 37 234
1966 53 290
1967 97 346
1968 0 289
1969 0 204
1970 0 136
1971 0 156
1972 24 135
1973 35 190
1974 66 205
1975 58 308
1976 56 485
1977 56 661
1978 56 789
1979 78 1021
1980 83 1116
1981 77 1232
1982 86 1379
1983 78 1810
1984 49 1359
1985 92 1603
1986 77 1844
1987 84 1778
1988 93 2205
1989 86 2314
1990 97 2200
1991 92 2736
1992 88 2308
1993 82 2213
1994 84 2350
1995 84 2401
1996 119 2413
1997 116 2740
1998 106 2777
1999 101 3121
2000 127 3335
2001 126 3507
2002 129 4132
2003 114 4748
2004 122 4859
2005 146 5548
2006 191 6489
2007 216 7232
2008 206 7539
2009 191 8017
2010 162 8727
2011 185 9866
2012 174 10334
2013 216 10820
2014 160 10872
2015 194 10694
2016 158 9489
2017 170 9695
2018 162 8350
2019 155 9374
2020 183 11454
2021 12 945
出版物引用数趋势分析

· Journal of Neural Transmission于1949年发表了0篇报告,并取得2篇引用文献。
· Journal of Neural Transmission于1950年发表了39篇报告,并取得1篇引用文献。
· Journal of Neural Transmission于1951年发表了74篇报告,并取得30篇引用文献。
· Journal of Neural Transmission于1952年发表了86篇报告,并取得95篇引用文献。
· Journal of Neural Transmission于1953年发表了121篇报告,并取得178篇引用文献。
· Journal of Neural Transmission于1954年发表了87篇报告,并取得106篇引用文献。
· Journal of Neural Transmission于1955年发表了87篇报告,并取得194篇引用文献。
· Journal of Neural Transmission于1956年发表了69篇报告,并取得123篇引用文献。
· Journal of Neural Transmission于1957年发表了92篇报告,并取得199篇引用文献。
· Journal of Neural Transmission于1958年发表了83篇报告,并取得250篇引用文献。
· Journal of Neural Transmission于1959年发表了32篇报告,并取得170篇引用文献。
· Journal of Neural Transmission于1960年发表了69篇报告,并取得264篇引用文献。
· Journal of Neural Transmission于1961年发表了39篇报告,并取得224篇引用文献。
· Journal of Neural Transmission于1962年发表了73篇报告,并取得177篇引用文献。
· Journal of Neural Transmission于1963年发表了25篇报告,并取得106篇引用文献。
· Journal of Neural Transmission于1964年发表了77篇报告,并取得268篇引用文献。
· Journal of Neural Transmission于1965年发表了37篇报告,并取得234篇引用文献。
· Journal of Neural Transmission于1966年发表了53篇报告,并取得290篇引用文献。
· Journal of Neural Transmission于1967年发表了97篇报告,并取得346篇引用文献。
· Journal of Neural Transmission于1968年发表了0篇报告,并取得289篇引用文献。
· Journal of Neural Transmission于1969年发表了0篇报告,并取得204篇引用文献。
· Journal of Neural Transmission于1970年发表了0篇报告,并取得136篇引用文献。
· Journal of Neural Transmission于1971年发表了0篇报告,并取得156篇引用文献。
· Journal of Neural Transmission于1972年发表了24篇报告,并取得135篇引用文献。
· Journal of Neural Transmission于1973年发表了35篇报告,并取得190篇引用文献。
· Journal of Neural Transmission于1974年发表了66篇报告,并取得205篇引用文献。
· Journal of Neural Transmission于1975年发表了58篇报告,并取得308篇引用文献。
· Journal of Neural Transmission于1976年发表了56篇报告,并取得485篇引用文献。
· Journal of Neural Transmission于1977年发表了56篇报告,并取得661篇引用文献。
· Journal of Neural Transmission于1978年发表了56篇报告,并取得789篇引用文献。
· Journal of Neural Transmission于1979年发表了78篇报告,并取得1021篇引用文献。
· Journal of Neural Transmission于1980年发表了83篇报告,并取得1116篇引用文献。
· Journal of Neural Transmission于1981年发表了77篇报告,并取得1232篇引用文献。
· Journal of Neural Transmission于1982年发表了86篇报告,并取得1379篇引用文献。
· Journal of Neural Transmission于1983年发表了78篇报告,并取得1810篇引用文献。
· Journal of Neural Transmission于1984年发表了49篇报告,并取得1359篇引用文献。
· Journal of Neural Transmission于1985年发表了92篇报告,并取得1603篇引用文献。
· Journal of Neural Transmission于1986年发表了77篇报告,并取得1844篇引用文献。
· Journal of Neural Transmission于1987年发表了84篇报告,并取得1778篇引用文献。
· Journal of Neural Transmission于1988年发表了93篇报告,并取得2205篇引用文献。
· Journal of Neural Transmission于1989年发表了86篇报告,并取得2314篇引用文献。
· Journal of Neural Transmission于1990年发表了97篇报告,并取得2200篇引用文献。
· Journal of Neural Transmission于1991年发表了92篇报告,并取得2736篇引用文献。
· Journal of Neural Transmission于1992年发表了88篇报告,并取得2308篇引用文献。
· Journal of Neural Transmission于1993年发表了82篇报告,并取得2213篇引用文献。
· Journal of Neural Transmission于1994年发表了84篇报告,并取得2350篇引用文献。
· Journal of Neural Transmission于1995年发表了84篇报告,并取得2401篇引用文献。
· Journal of Neural Transmission于1996年发表了119篇报告,并取得2413篇引用文献。
· Journal of Neural Transmission于1997年发表了116篇报告,并取得2740篇引用文献。
· Journal of Neural Transmission于1998年发表了106篇报告,并取得2777篇引用文献。
· Journal of Neural Transmission于1999年发表了101篇报告,并取得3121篇引用文献。
· Journal of Neural Transmission于2000年发表了127篇报告,并取得3335篇引用文献。
· Journal of Neural Transmission于2001年发表了126篇报告,并取得3507篇引用文献。
· Journal of Neural Transmission于2002年发表了129篇报告,并取得4132篇引用文献。
· Journal of Neural Transmission于2003年发表了114篇报告,并取得4748篇引用文献。
· Journal of Neural Transmission于2004年发表了122篇报告,并取得4859篇引用文献。
· Journal of Neural Transmission于2005年发表了146篇报告,并取得5548篇引用文献。
· Journal of Neural Transmission于2006年发表了191篇报告,并取得6489篇引用文献。
· Journal of Neural Transmission于2007年发表了216篇报告,并取得7232篇引用文献。
· Journal of Neural Transmission于2008年发表了206篇报告,并取得7539篇引用文献。
· Journal of Neural Transmission于2009年发表了191篇报告,并取得8017篇引用文献。
· Journal of Neural Transmission于2010年发表了162篇报告,并取得8727篇引用文献。
· Journal of Neural Transmission于2011年发表了185篇报告,并取得9866篇引用文献。
· Journal of Neural Transmission于2012年发表了174篇报告,并取得10334篇引用文献。
· Journal of Neural Transmission于2013年发表了216篇报告,并取得10820篇引用文献。
· Journal of Neural Transmission于2014年发表了160篇报告,并取得10872篇引用文献。
· Journal of Neural Transmission于2015年发表了194篇报告,并取得10694篇引用文献。
· Journal of Neural Transmission于2016年发表了158篇报告,并取得9489篇引用文献。
· Journal of Neural Transmission于2017年发表了170篇报告,并取得9695篇引用文献。
· Journal of Neural Transmission于2018年发表了162篇报告,并取得8350篇引用文献。
· Journal of Neural Transmission于2019年发表了155篇报告,并取得9374篇引用文献。
· Journal of Neural Transmission于2020年发表了183篇报告,并取得11454篇引用文献。
· Journal of Neural Transmission于2021年发表了12篇报告,并取得945篇引用文献。
· Journal of Neural Transmission的总出版物为6942。
· Journal of Neural Transmission的总引用为215761。

Journal of Neural Transmission
基本资讯
Journal of Neural Transmission | Academic Accelerator - About the Journal

介绍

The investigation of basic mechanisms involved in the pathogenesis of neurological and psychiatric disorders has undoubtedly deepened our knowledge of these types of disorders. The impact of basic neurosciences on the understanding of the pathophysiology of the brain will further increase due to important developments such as the emergence of more specific psychoactive compounds and new technologies. The Journal of Neural Transmission aims to establish an interface between basic sciences and clinical neurology and psychiatry. It intends to put a special emphasis on translational publications of the newest developments in the field from all disciplines of the neural sciences that relate to a better understanding and treatment of neurological and psychiatric disorders. None

ISSN
0300-9564
ISSN

Journal of Neural Transmission的ISSN是 0300-9564 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)
1435-1463
ISSN (Online)

Journal of Neural Transmission的ISSN(Online)是 1435-1463 . 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
Springer Verlag
出版社

Journal of Neural Transmission的出版社是 Springer Verlag

出版频率
Monthly
出版频率

Journal of Neural Transmission publishes reports Monthly .

出版年度
1972 - Present
出版年度

Journal of Neural Transmission的出版年度包含 1972 - Present .

开放存取
NO
开放存取

出版费
Review
出版费

语言
Multiple languages
语言

The language of Journal of Neural Transmission is Multiple languages .

国家/地区
Germany
国家/地区

The publisher of Journal of Neural Transmission is Springer Verlag , which locates in Germany .

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.

Journal of Neural Transmission | 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 Journal of Neural Transmission Impact Factor IF measures the average number of citations received in a particular year (2020) by papers published in the Journal of Neural Transmission 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 Journal of Neural Transmission.

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。

Journal of Neural Transmission | 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。