Diabetes Care
最新影響指數 - 實時趨勢預測 & 期刊影響力排名









Diabetes Care

Diabetes Care 2019-2020 年的影響指數為16.019。

Diabetes Care Impact Factor
最高影響指數 IF

近十年Diabetes Care的最高影響指數為16.019。

最低影響指數 IF

近十年Diabetes Care的最低影響指數為7.735。

影響指數 累積成長率
影響指數 累積成長率

近十年Diabetes Care的影響指數累積成長率為98.1%。

影響指數 平均成長率
影響指數 平均成長率

近十年Diabetes Care的影響指數平均成長率為10.9%。


子領域 四分位數 排名 百分比
Endocrinology, Diabetes and Metabolism Q1 3/217

Endocrinology, Diabetes and Metabolism 98%

Advanced and Specialized Nursing Q1 1/59

Advanced and Specialized Nursing 99%

Internal Medicine Q1 2/128

Internal Medicine 98%


· 在Endocrinology, Diabetes and Metabolism研究領域,Diabetes Care的四分位數為Q1。Diabetes Care在Endocrinology, Diabetes and Metabolism研究類別的217種相關期刊中排名第3。在Endocrinology, Diabetes and Metabolism研究領域,Diabetes Care的排名百分位約為98%。
· 在Advanced and Specialized Nursing研究領域,Diabetes Care的四分位數為Q1。Diabetes Care在Advanced and Specialized Nursing研究類別的59種相關期刊中排名第1。在Advanced and Specialized Nursing研究領域,Diabetes Care的排名百分位約為99%。
· 在Internal Medicine研究領域,Diabetes Care的四分位數為Q1。Diabetes Care在Internal Medicine研究類別的128種相關期刊中排名第2。在Internal Medicine研究領域,Diabetes Care的排名百分位約為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.

Predict Check All Preditions






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年的影響指數為16.019
· Diabetes Care 2018-2019年的影響指數為15.27
· Diabetes Care 2017-2018年的影響指數為13.397
· Diabetes Care 2016-2017年的影響指數為11.857
· Diabetes Care 2015-2016年的影響指數為8.934
· Diabetes Care 2014-2015年的影響指數為8.42
· Diabetes Care 2013-2014年的影響指數為8.57
· Diabetes Care 2012-2013年的影響指數為7.735
· Diabetes Care 2011-2012年的影響指數為8.087


出版數量 引用數量
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於1977年發表了0篇报告,並取得5篇文獻引用。
· Diabetes Care於1978年發表了79篇报告,並取得17篇文獻引用。
· Diabetes Care於1979年發表了97篇报告,並取得101篇文獻引用。
· Diabetes Care於1980年發表了175篇报告,並取得274篇文獻引用。
· Diabetes Care於1981年發表了153篇报告,並取得498篇文獻引用。
· Diabetes Care於1982年發表了228篇报告,並取得959篇文獻引用。
· Diabetes Care於1983年發表了174篇报告,並取得1249篇文獻引用。
· Diabetes Care於1984年發表了164篇报告,並取得1681篇文獻引用。
· Diabetes Care於1985年發表了175篇报告,並取得2072篇文獻引用。
· Diabetes Care於1986年發表了173篇报告,並取得2466篇文獻引用。
· Diabetes Care於1987年發表了196篇报告,並取得2504篇文獻引用。
· Diabetes Care於1988年發表了210篇报告,並取得3522篇文獻引用。
· Diabetes Care於1989年發表了161篇报告,並取得3787篇文獻引用。
· Diabetes Care於1990年發表了253篇报告,並取得3896篇文獻引用。
· Diabetes Care於1991年發表了213篇报告,並取得4118篇文獻引用。
· Diabetes Care於1992年發表了319篇报告,並取得5077篇文獻引用。
· Diabetes Care於1993年發表了376篇报告,並取得5855篇文獻引用。
· Diabetes Care於1994年發表了317篇报告,並取得6022篇文獻引用。
· Diabetes Care於1995年發表了319篇报告,並取得6917篇文獻引用。
· Diabetes Care於1996年發表了354篇报告,並取得7735篇文獻引用。
· Diabetes Care於1997年發表了468篇报告,並取得9431篇文獻引用。
· Diabetes Care於1998年發表了564篇报告,並取得11327篇文獻引用。
· Diabetes Care於1999年發表了534篇报告,並取得13955篇文獻引用。
· Diabetes Care於2000年發表了465篇报告,並取得18509篇文獻引用。
· Diabetes Care於2001年發表了491篇报告,並取得23838篇文獻引用。
· Diabetes Care於2002年發表了534篇报告,並取得29421篇文獻引用。
· Diabetes Care於2003年發表了785篇报告,並取得39154篇文獻引用。
· Diabetes Care於2004年發表了726篇报告,並取得45437篇文獻引用。
· Diabetes Care於2005年發表了677篇报告,並取得55409篇文獻引用。
· Diabetes Care於2006年發表了727篇报告,並取得65472篇文獻引用。
· Diabetes Care於2007年發表了854篇报告,並取得78157篇文獻引用。
· Diabetes Care於2008年發表了661篇报告,並取得85107篇文獻引用。
· Diabetes Care於2009年發表了672篇报告,並取得88467篇文獻引用。
· Diabetes Care於2010年發表了695篇报告,並取得98059篇文獻引用。
· Diabetes Care於2011年發表了671篇报告,並取得105434篇文獻引用。
· Diabetes Care於2012年發表了558篇报告,並取得117773篇文獻引用。
· Diabetes Care於2013年發表了866篇报告,並取得125995篇文獻引用。
· Diabetes Care於2014年發表了636篇报告,並取得135883篇文獻引用。
· Diabetes Care於2015年發表了491篇报告,並取得129794篇文獻引用。
· Diabetes Care於2016年發表了441篇报告,並取得117612篇文獻引用。
· Diabetes Care於2017年發表了397篇报告,並取得109442篇文獻引用。
· Diabetes Care於2018年發表了405篇报告,並取得91785篇文獻引用。
· Diabetes Care於2019年發表了421篇报告,並取得96476篇文獻引用。
· Diabetes Care於2020年發表了585篇报告,並取得112295篇文獻引用。
· Diabetes Care於2021年發表了71篇报告,並取得7126篇文獻引用。
· Diabetes Care的總出版物為18532。
· Diabetes Care的總引用數為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是一個8位數的代碼,用於識別各種報紙,期刊,雜誌和期刊以及所有媒體 - 包括印刷版和電子版。

ISSN (Online)
ISSN (Online)

Diabetes Care的ISSN(Online)是 0149-5992 . ISSN是一個8位數的代碼,用於識別各種報紙,期刊,雜誌和期刊以及所有媒體 - 包括印刷版和電子版。

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傳統訂閱 (non-OA) 期刊。出版商擁有其期刊中文章的版權。任何想要閱讀文章的人都應該由個人或機構支付費用來訪問這些文章。任何人想以任何方式使用這些文章都必須獲得出版商的許可。


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)


影響指數(IF)經常用作表明期刊對其領域重要性的指標。它是由科學信息研究所的創始人Eugene Garfield首次提出的。儘管IF被機構和臨床醫生廣泛使用,但是人們對於IF日記的計算方法,其意義以及如何利用它存在著廣泛的誤解。期刊的影響指數與同行評議過程的質量和期刊的內容質量等因素無關,而是一種反映對期刊,書籍,論文,項目報告,報紙上發表的文章的平均引用次數的度量,會議/研討會論文集,在互聯網上發布的文件,說明以及任何其他批准的文件。

Diabetes Care | Academic Accelerator - About the Impact Factor

影響指數通常用於評估期刊在其領域內的相對重要性,以及衡量期刊在特定時間段內引用“平均文章”的頻率。發表更多評論文章的期刊將獲得最高的IF。 IF較高的期刊被認為比IF較低的期刊更重要。根據尤金·加菲爾德(Eugene Garfield)的說法,“影響只是反映期刊和編輯吸引最佳論文的能力。”發表更多評論文章的期刊將獲得最大的IF。