Neuromuscular Disorders
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

3.115

19.3%

影响因子趋势分析

相关期刊

Neuromuscular Disorders

Neuromuscular Disorders 2019-2020 年的影响因子为3.115。

Neuromuscular Disorders Impact Factor
最高影响因子
3.464
最高影响因子 IF

近十年Neuromuscular Disorders的最高影响因子为3.464。

最低影响因子
2.487
最低影响因子 IF

近十年Neuromuscular Disorders的最低影响因子为2.487。

影响因子 总成长率
11.4%
影响因子 总成长率

近十年Neuromuscular Disorders的影响因子总成长率为11.4%。

影响因子 平均成长率
1.3%
影响因子 平均成长率

近十年Neuromuscular Disorders的影响因子平均成长率为1.3%。

影响因子排名分区

子领域 分区 排名 百分比
Genetics (clinical) 2区 44/90

Genetics (clinical) 51%

Neurology (clinical) 2区 107/348

Neurology (clinical) 69%

Pediatrics, Perinatology and Child Health 1区 38/286

Pediatrics, Perinatology and Child Health 86%

Neurology 2区 61/155

Neurology 60%

影响因子排名分区

· 在Genetics (clinical)研究领域,Neuromuscular Disorders的分区数为2区。Neuromuscular Disorders在Genetics (clinical)研究类别的90种相关期刊中排名第44。在Genetics (clinical)领域,Neuromuscular Disorders的排名百分位约为51%。
· 在Neurology (clinical)研究领域,Neuromuscular Disorders的分区数为2区。Neuromuscular Disorders在Neurology (clinical)研究类别的348种相关期刊中排名第107。在Neurology (clinical)领域,Neuromuscular Disorders的排名百分位约为69%。
· 在Pediatrics, Perinatology and Child Health研究领域,Neuromuscular Disorders的分区数为1区。Neuromuscular Disorders在Pediatrics, Perinatology and Child Health研究类别的286种相关期刊中排名第38。在Pediatrics, Perinatology and Child Health领域,Neuromuscular Disorders的排名百分位约为86%。
· 在Neurology研究领域,Neuromuscular Disorders的分区数为2区。Neuromuscular Disorders在Neurology研究类别的155种相关期刊中排名第61。在Neurology领域,Neuromuscular Disorders的排名百分位约为60%。

Neuromuscular Disorders Impact Factor 2020-2021 Prediction

Neuromuscular Disorders Impact Factor Predition System

Neuromuscular Disorders 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
10493
总引文数
115438

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 3.115
2018-2019 2.612
2017-2018 2.487
2016-2017 2.969
2015-2016 3.107
2014-2015 2.638
2013-2014 3.134
2012-2013 3.464
2011-2012 2.797
影响因子历年数据分析

· Neuromuscular Disorders 2019-2020年的影响因子为3.115
· Neuromuscular Disorders 2018-2019年的影响因子为2.612
· Neuromuscular Disorders 2017-2018年的影响因子为2.487
· Neuromuscular Disorders 2016-2017年的影响因子为2.969
· Neuromuscular Disorders 2015-2016年的影响因子为3.107
· Neuromuscular Disorders 2014-2015年的影响因子为2.638
· Neuromuscular Disorders 2013-2014年的影响因子为3.134
· Neuromuscular Disorders 2012-2013年的影响因子为3.464
· Neuromuscular Disorders 2011-2012年的影响因子为2.797

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
1982 0 1
1991 88 18
1992 75 144
1993 114 279
1994 187 418
1995 86 665
1996 365 853
1997 307 965
1998 75 1342
1999 86 1662
2000 104 1809
2001 121 1893
2002 188 2410
2003 121 2753
2004 144 2803
2005 142 3455
2006 386 3696
2007 579 4051
2008 501 4751
2009 500 4703
2010 502 5593
2011 581 6134
2012 609 6801
2013 496 7240
2014 682 7202
2015 613 8343
2016 588 6667
2017 872 7014
2018 389 6455
2019 694 6361
2020 281 8349
2021 17 608
出版物引用数趋势分析

· Neuromuscular Disorders于1982年发表了0篇报告,并取得1篇引用文献。
· Neuromuscular Disorders于1991年发表了88篇报告,并取得18篇引用文献。
· Neuromuscular Disorders于1992年发表了75篇报告,并取得144篇引用文献。
· Neuromuscular Disorders于1993年发表了114篇报告,并取得279篇引用文献。
· Neuromuscular Disorders于1994年发表了187篇报告,并取得418篇引用文献。
· Neuromuscular Disorders于1995年发表了86篇报告,并取得665篇引用文献。
· Neuromuscular Disorders于1996年发表了365篇报告,并取得853篇引用文献。
· Neuromuscular Disorders于1997年发表了307篇报告,并取得965篇引用文献。
· Neuromuscular Disorders于1998年发表了75篇报告,并取得1342篇引用文献。
· Neuromuscular Disorders于1999年发表了86篇报告,并取得1662篇引用文献。
· Neuromuscular Disorders于2000年发表了104篇报告,并取得1809篇引用文献。
· Neuromuscular Disorders于2001年发表了121篇报告,并取得1893篇引用文献。
· Neuromuscular Disorders于2002年发表了188篇报告,并取得2410篇引用文献。
· Neuromuscular Disorders于2003年发表了121篇报告,并取得2753篇引用文献。
· Neuromuscular Disorders于2004年发表了144篇报告,并取得2803篇引用文献。
· Neuromuscular Disorders于2005年发表了142篇报告,并取得3455篇引用文献。
· Neuromuscular Disorders于2006年发表了386篇报告,并取得3696篇引用文献。
· Neuromuscular Disorders于2007年发表了579篇报告,并取得4051篇引用文献。
· Neuromuscular Disorders于2008年发表了501篇报告,并取得4751篇引用文献。
· Neuromuscular Disorders于2009年发表了500篇报告,并取得4703篇引用文献。
· Neuromuscular Disorders于2010年发表了502篇报告,并取得5593篇引用文献。
· Neuromuscular Disorders于2011年发表了581篇报告,并取得6134篇引用文献。
· Neuromuscular Disorders于2012年发表了609篇报告,并取得6801篇引用文献。
· Neuromuscular Disorders于2013年发表了496篇报告,并取得7240篇引用文献。
· Neuromuscular Disorders于2014年发表了682篇报告,并取得7202篇引用文献。
· Neuromuscular Disorders于2015年发表了613篇报告,并取得8343篇引用文献。
· Neuromuscular Disorders于2016年发表了588篇报告,并取得6667篇引用文献。
· Neuromuscular Disorders于2017年发表了872篇报告,并取得7014篇引用文献。
· Neuromuscular Disorders于2018年发表了389篇报告,并取得6455篇引用文献。
· Neuromuscular Disorders于2019年发表了694篇报告,并取得6361篇引用文献。
· Neuromuscular Disorders于2020年发表了281篇报告,并取得8349篇引用文献。
· Neuromuscular Disorders于2021年发表了17篇报告,并取得608篇引用文献。
· Neuromuscular Disorders的总出版物为10493。
· Neuromuscular Disorders的总引用为115438。

Neuromuscular Disorders
基本资讯
Neuromuscular Disorders | Academic Accelerator - About the Journal

介绍

This international, multidisciplinary journal covers all aspects of neuromuscular disorders in childhood and adult life (including the muscular dystrophies, spinal muscular atrophies, hereditary neuropathies, congenital myopathies, myasthenias, myotonic syndromes, metabolic myopathies and inflammatory myopathies).The Editors welcome original articles from all areas of the field:• Clinical aspects, such as new clinical entities, case studies of interest, treatment, management and rehabilitation (including biomechanics, orthotic design and surgery).• Basic scientific studies of relevance to the clinical syndromes, including advances in the fields of molecular biology and genetics.• Studies of animal models relevant to the human diseases.The journal is aimed at a wide range of clinicians, pathologists, associated paramedical professionals and clinical and basic scientists with an interest in the study of neuromuscular disorders. Neuromuscular Disorders is a peer-reviewed medical journal that focuses on neuromuscular disease, including muscular dystrophy, spinal muscular atrophy, and myasthenia. It is the official journal of the World Muscle Society. It was established in 1991 and is published by Elsevier.

ISSN
0960-8966
ISSN

Neuromuscular Disorders的ISSN是 0960-8966 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)
1873-2364
ISSN (Online)

Neuromuscular Disorders的ISSN(Online)是 1873-2364 . 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

Neuromuscular Disorders的出版社是 Elsevier Ltd.

出版频率
-
出版频率

Neuromuscular Disorders publishes reports - .

出版年度
1991 - Present
出版年度

Neuromuscular Disorders的出版年度包含 1991 - Present .

开放存取
NO
开放存取

Neuromuscular Disorders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 Neuromuscular Disorders. Neuromuscular Disorders 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
-
语言

The language of Neuromuscular Disorders is - .

国家/地区
United Kingdom
国家/地区

The publisher of Neuromuscular Disorders 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.

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

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。

Neuromuscular Disorders | 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。