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








Diabetes Care

Diabetes Care 2019-2020 年的影响因子为16.019。

Diabetes Care Impact Factor
最高影响因子 IF

近十年Diabetes Care的最高影响因子为16.019。

最低影响因子 IF

近十年Diabetes Care的最低影响因子为7.735。

影响因子 总成长率
影响因子 总成长率

近十年Diabetes Care的影响因子总成长率为98.1%。

影响因子 平均成长率
影响因子 平均成长率

近十年Diabetes Care的影响因子平均成长率为10.9%。


子领域 分区 排名 百分比
Endocrinology, Diabetes and Metabolism 1区 3/217

Endocrinology, Diabetes and Metabolism 98%

Advanced and Specialized Nursing 1区 1/59

Advanced and Specialized Nursing 99%

Internal Medicine 1区 2/128

Internal Medicine 98%


· 在Endocrinology, Diabetes and Metabolism研究领域,Diabetes Care的分区数为1区。Diabetes Care在Endocrinology, Diabetes and Metabolism研究类别的217种相关期刊中排名第3。在Endocrinology, Diabetes and Metabolism领域,Diabetes Care的排名百分位约为98%。
· 在Advanced and Specialized Nursing研究领域,Diabetes Care的分区数为1区。Diabetes Care在Advanced and Specialized Nursing研究类别的59种相关期刊中排名第1。在Advanced and Specialized Nursing领域,Diabetes Care的排名百分位约为99%。
· 在Internal Medicine研究领域,Diabetes Care的分区数为1区。Diabetes Care在Internal Medicine研究类别的128种相关期刊中排名第2。在Internal Medicine领域,Diabetes Care的排名百分位约为98%。

Diabetes Care Impact Factor 2020-2021 Prediction

Diabetes Care Impact Factor Predition System

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

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2019-2020 16.019
2018-2019 15.27
2017-2018 13.397
2016-2017 11.857
2015-2016 8.934
2014-2015 8.42
2013-2014 8.57
2012-2013 7.735
2011-2012 8.087

· Diabetes Care 2019-2020年的影响因子为16.019
· Diabetes Care 2018-2019年的影响因子为15.27
· Diabetes Care 2017-2018年的影响因子为13.397
· Diabetes Care 2016-2017年的影响因子为11.857
· Diabetes Care 2015-2016年的影响因子为8.934
· Diabetes Care 2014-2015年的影响因子为8.42
· Diabetes Care 2013-2014年的影响因子为8.57
· Diabetes Care 2012-2013年的影响因子为7.735
· Diabetes Care 2011-2012年的影响因子为8.087


出版数量 引用数量
出版数量 引用数量
1977 0 5
1978 79 17
1979 97 101
1980 175 274
1981 153 498
1982 228 959
1983 174 1249
1984 164 1681
1985 175 2072
1986 173 2466
1987 196 2504
1988 210 3522
1989 161 3787
1990 253 3896
1991 213 4118
1992 319 5077
1993 376 5855
1994 317 6022
1995 319 6917
1996 354 7735
1997 468 9431
1998 564 11327
1999 534 13955
2000 465 18509
2001 491 23838
2002 534 29421
2003 785 39154
2004 726 45437
2005 677 55409
2006 727 65472
2007 854 78157
2008 661 85107
2009 672 88467
2010 695 98059
2011 671 105434
2012 558 117773
2013 866 125995
2014 636 135883
2015 491 129794
2016 441 117612
2017 397 109442
2018 405 91785
2019 421 96476
2020 585 112295
2021 71 7126

· Diabetes Care于1977年发表了0篇报告,并取得5篇引用文献。
· Diabetes Care于1978年发表了79篇报告,并取得17篇引用文献。
· Diabetes Care于1979年发表了97篇报告,并取得101篇引用文献。
· Diabetes Care于1980年发表了175篇报告,并取得274篇引用文献。
· Diabetes Care于1981年发表了153篇报告,并取得498篇引用文献。
· Diabetes Care于1982年发表了228篇报告,并取得959篇引用文献。
· Diabetes Care于1983年发表了174篇报告,并取得1249篇引用文献。
· Diabetes Care于1984年发表了164篇报告,并取得1681篇引用文献。
· Diabetes Care于1985年发表了175篇报告,并取得2072篇引用文献。
· Diabetes Care于1986年发表了173篇报告,并取得2466篇引用文献。
· Diabetes Care于1987年发表了196篇报告,并取得2504篇引用文献。
· Diabetes Care于1988年发表了210篇报告,并取得3522篇引用文献。
· Diabetes Care于1989年发表了161篇报告,并取得3787篇引用文献。
· Diabetes Care于1990年发表了253篇报告,并取得3896篇引用文献。
· Diabetes Care于1991年发表了213篇报告,并取得4118篇引用文献。
· Diabetes Care于1992年发表了319篇报告,并取得5077篇引用文献。
· Diabetes Care于1993年发表了376篇报告,并取得5855篇引用文献。
· Diabetes Care于1994年发表了317篇报告,并取得6022篇引用文献。
· Diabetes Care于1995年发表了319篇报告,并取得6917篇引用文献。
· Diabetes Care于1996年发表了354篇报告,并取得7735篇引用文献。
· Diabetes Care于1997年发表了468篇报告,并取得9431篇引用文献。
· Diabetes Care于1998年发表了564篇报告,并取得11327篇引用文献。
· Diabetes Care于1999年发表了534篇报告,并取得13955篇引用文献。
· Diabetes Care于2000年发表了465篇报告,并取得18509篇引用文献。
· Diabetes Care于2001年发表了491篇报告,并取得23838篇引用文献。
· Diabetes Care于2002年发表了534篇报告,并取得29421篇引用文献。
· Diabetes Care于2003年发表了785篇报告,并取得39154篇引用文献。
· Diabetes Care于2004年发表了726篇报告,并取得45437篇引用文献。
· Diabetes Care于2005年发表了677篇报告,并取得55409篇引用文献。
· Diabetes Care于2006年发表了727篇报告,并取得65472篇引用文献。
· Diabetes Care于2007年发表了854篇报告,并取得78157篇引用文献。
· Diabetes Care于2008年发表了661篇报告,并取得85107篇引用文献。
· Diabetes Care于2009年发表了672篇报告,并取得88467篇引用文献。
· Diabetes Care于2010年发表了695篇报告,并取得98059篇引用文献。
· Diabetes Care于2011年发表了671篇报告,并取得105434篇引用文献。
· Diabetes Care于2012年发表了558篇报告,并取得117773篇引用文献。
· Diabetes Care于2013年发表了866篇报告,并取得125995篇引用文献。
· Diabetes Care于2014年发表了636篇报告,并取得135883篇引用文献。
· Diabetes Care于2015年发表了491篇报告,并取得129794篇引用文献。
· Diabetes Care于2016年发表了441篇报告,并取得117612篇引用文献。
· Diabetes Care于2017年发表了397篇报告,并取得109442篇引用文献。
· Diabetes Care于2018年发表了405篇报告,并取得91785篇引用文献。
· Diabetes Care于2019年发表了421篇报告,并取得96476篇引用文献。
· Diabetes Care于2020年发表了585篇报告,并取得112295篇引用文献。
· Diabetes Care于2021年发表了71篇报告,并取得7126篇引用文献。
· Diabetes Care的总出版物为18532。
· Diabetes Care的总引用为1870113。

Diabetes Care
Diabetes Care | Academic Accelerator - About the Journal


Diabetes Care is a journal for the health care practitioner that is intended to increase knowledge, stimulate research, and promote better management of people with diabetes. To achieve these goals, the journal publishes original research on human studies in the following categories: Clinical Care/Education/Nutrition/Psychosocial Research, Epidemiology/Health Services Research,Emerging Treatments and Technologies, Pathophysiology/Complications, and Cardiovascular and Metabolic Risk. The journal also publishes ADA statements, consensus reports, clinically relevant review articles, letters to the editor, and health/medical news or points of view. Topics covered are of interest to clinically oriented physicians, researchers, epidemiologists, psychologists, diabetes educators, and other health professionals. Diabetes Care is a monthly peer-reviewed medical journal published since 1978 by the American Diabetes Association. The journal covers research in the following five categories: 1) clinical care/education/nutrition/psychosocial research, 2) epidemiology/health services research, 3) emerging treatments and technologies, 4) pathophysiology/complications, and 5) cardiovascular and metabolic risk. The journal also publishes clinically relevant review articles, letters to the editor, and commentaries.


Diabetes Care的ISSN是 1935-5548 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)

Diabetes Care的ISSN(Online)是 0149-5992 . 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。

American Diabetes Association Inc.

Diabetes Care的出版社是 American Diabetes Association Inc.


Diabetes Care publishes reports Monthly .

1978 - Present

Diabetes Care的出版年度包含 1978 - Present .


Diabetes Care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。


There is no publication fee for submiting manuscript to Diabetes Care. Diabetes Care 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.


The language of Diabetes Care is English .

United States

The publisher of Diabetes Care is American Diabetes Association Inc. , which locates in United States .

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.

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


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.


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


  • A vetted, established metric for measuring journal impact within a discipline.
  • Designed to eliminate bias based on journal size and frequency.
  • 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.


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)


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。

Diabetes 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。