BMJ Open Diabetes Research and Care
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

3.742

10.9%

影响因子趋势分析

相关期刊

BMJ Open Diabetes Research and Care

BMJ Open Diabetes Research and Care 2019-2020 年的影响因子为3.742。

BMJ Open Diabetes Research and Care Impact Factor
最高影响因子
3.742
最高影响因子 IF

近十年BMJ Open Diabetes Research and Care的最高影响因子为3.742。

最低影响因子
2.114
最低影响因子 IF

近十年BMJ Open Diabetes Research and Care的最低影响因子为2.114。

影响因子 总成长率
77.0%
影响因子 总成长率

近十年BMJ Open Diabetes Research and Care的影响因子总成长率为77.0%。

影响因子 平均成长率
19.2%
影响因子 平均成长率

近十年BMJ Open Diabetes Research and Care的影响因子平均成长率为19.2%。

影响因子排名分区

子领域 分区 排名 百分比
Endocrinology, Diabetes and Metabolism 2区 74/217

Endocrinology, Diabetes and Metabolism 66%

影响因子排名分区

· 在Endocrinology, Diabetes and Metabolism研究领域,BMJ Open Diabetes Research and Care的分区数为2区。BMJ Open Diabetes Research and Care在Endocrinology, Diabetes and Metabolism研究类别的217种相关期刊中排名第74。在Endocrinology, Diabetes and Metabolism领域,BMJ Open Diabetes Research and Care的排名百分位约为66%。

BMJ Open Diabetes Research and Care Impact Factor 2020-2021 Prediction

BMJ Open Diabetes Research and Care Impact Factor Predition System

BMJ Open Diabetes Research and Care 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
840
总引文数
6358

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 3.742
2018-2019 3.373
2017-2018 2.591
2016-2017 2.114
2015-2016 -
2014-2015 -
2013-2014 -
2012-2013 -
2011-2012 -
影响因子历年数据分析

· BMJ Open Diabetes Research and Care 2019-2020年的影响因子为3.742
· BMJ Open Diabetes Research and Care 2018-2019年的影响因子为3.373
· BMJ Open Diabetes Research and Care 2017-2018年的影响因子为2.591
· BMJ Open Diabetes Research and Care 2016-2017年的影响因子为2.114
BMJ Open Diabetes Research and Care2015-2016的影响因子仍在等待计算中,敬请关注!
BMJ Open Diabetes Research and Care2014-2015的影响因子仍在等待计算中,敬请关注!
BMJ Open Diabetes Research and Care2013-2014的影响因子仍在等待计算中,敬请关注!
BMJ Open Diabetes Research and Care2012-2013的影响因子仍在等待计算中,敬请关注!
BMJ Open Diabetes Research and Care2011-2012的影响因子仍在等待计算中,敬请关注!

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
2013 1 1
2014 31 11
2015 62 150
2016 95 352
2017 88 749
2018 64 1009
2019 100 1392
2020 386 2495
2021 13 199
出版物引用数趋势分析

· BMJ Open Diabetes Research and Care于2013年发表了1篇报告,并取得1篇引用文献。
· BMJ Open Diabetes Research and Care于2014年发表了31篇报告,并取得11篇引用文献。
· BMJ Open Diabetes Research and Care于2015年发表了62篇报告,并取得150篇引用文献。
· BMJ Open Diabetes Research and Care于2016年发表了95篇报告,并取得352篇引用文献。
· BMJ Open Diabetes Research and Care于2017年发表了88篇报告,并取得749篇引用文献。
· BMJ Open Diabetes Research and Care于2018年发表了64篇报告,并取得1009篇引用文献。
· BMJ Open Diabetes Research and Care于2019年发表了100篇报告,并取得1392篇引用文献。
· BMJ Open Diabetes Research and Care于2020年发表了386篇报告,并取得2495篇引用文献。
· BMJ Open Diabetes Research and Care于2021年发表了13篇报告,并取得199篇引用文献。
· BMJ Open Diabetes Research and Care的总出版物为840。
· BMJ Open Diabetes Research and Care的总引用为6358。

BMJ Open Diabetes Research and Care
基本资讯
BMJ Open Diabetes Research and Care | Academic Accelerator - About the Journal

介绍

BMJ Open Diabetes Research & Care is an open access journal committed to publishing high-quality basic and clinical research articles regarding type 1 and type 2 diabetes and associated complications. Only original research and systematic reviews are accepted. Submissions are subject to rigorous external peer review to ensure the publication of high-quality information.The online-only format allows for continuous updates and serves as an invaluable resource to the multidisciplinary community of endocrinology, public health/prevention and internal medicine. A rapid review process will also ensure that timely, up-to-date research is available internationally.BMJ Open Diabetes Research & Care is published by BMJ in partnership with the American Diabetes Association. None

ISSN
-
ISSN

BMJ Open Diabetes Research and Care的ISSN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。

ISSN (Online)
2052-4897
ISSN (Online)

BMJ Open Diabetes Research and Care的ISSN(Online)是 2052-4897 . 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
BMJ Publishing Group
出版社

BMJ Open Diabetes Research and Care的出版社是 BMJ Publishing Group

出版频率
-
出版频率

BMJ Open Diabetes Research and Care publishes reports - .

出版年度
2015 - Present
出版年度

BMJ Open Diabetes Research and Care的出版年度包含 2015 - Present .

开放存取
YES
开放存取

BMJ Open Diabetes Research and Care开放存取(Open Access,简称OA)期刊。开放获取是国际学术界、出版界、图书情报界为了推动科研成果利用互联网自由传播而采取的行动。其目的是促进科学及人文信息的广泛交流,促进利用互联网进行科学交流与出版,提升科学研究的公共利用程度、保障科学信息的保存,提高科学研究的效率。通过新的数字技术和网络化通信, 只要正确引用作者和原始来源,任何人都可以及时、免费、不受任何限制地通过网络获取各类文献。

出版费
Review
出版费

BMJ Open Diabetes Research and Care is an Open Access (OA) Journal. Open Access stands for unrestricted access and unrestricted reuse. With Open Access, researchers can read and build on the findings of others without restriction. Open Access allows taxpayers to see the results of their investment. Please share or review the publication fee with the community.

语言
English
语言

The language of BMJ Open Diabetes Research and Care is English .

国家/地区
United Kingdom
国家/地区

The publisher of BMJ Open Diabetes Research and Care is BMJ Publishing Group , 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.

BMJ Open Diabetes Research and Care | 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 BMJ Open Diabetes Research and Care Impact Factor IF measures the average number of citations received in a particular year (2020) by papers published in the BMJ Open Diabetes Research and Care 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 BMJ Open Diabetes Research and Care.

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。

BMJ Open Diabetes Research and Care | 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。