Journal of Diabetes Research
Wskaźnik cytowań - Analiza · Tendencja · Zaszeregowanie · Prognoza


Nowy

Wskaźnik cytowań

2020-2021

4.011

35.3%

Wskaźnik cytowań Trend

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Highly Cited Articles

Journal of Diabetes Research

High Impact Research Articles
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Highly Cited Keywords

Journal of Diabetes Research

High Impact Research Keywords

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Journal of Diabetes Research

The 2020-2021 Wskaźnik cytowań of Journal of Diabetes Research is 4.011, which is just updated in 2021.

Journal of Diabetes Research Impact Factor
Highest IF
4.011
Highest Wskaźnik cytowań

The highest Wskaźnik cytowań of Journal of Diabetes Research is 4.011.

Lowest IF
2.164
Lowest Wskaźnik cytowań

The lowest Wskaźnik cytowań of Journal of Diabetes Research is 2.164.

Total Growth Rate
85.4%
IF Total Growth Rate

The total growth rate of Journal of Diabetes Research IF is 85.4%.

Annual Growth Rate
12.2%
IF Annual Growth Rate

The annual growth rate of Journal of Diabetes Research IF is 12.2%.

Wskaźnik cytowań Ranking

Subcategory Quartile Rank Percentile
Endocrinology, Diabetes and Metabolism Q2 81/219

Endocrinology, Diabetes and Metabolism 63%

Endocrinology Q2 53/117

Endocrinology 55%

Wskaźnik cytowań Ranking

· In the Endocrinology, Diabetes and Metabolism research field, the Quartile of Journal of Diabetes Research is Q2. Journal of Diabetes Research has been ranked #81 over 219 related journals in the Endocrinology, Diabetes and Metabolism research category. The ranking percentile of Journal of Diabetes Research is around 63% in the field of Endocrinology, Diabetes and Metabolism.
· In the Endocrinology research field, the Quartile of Journal of Diabetes Research is Q2. Journal of Diabetes Research has been ranked #53 over 117 related journals in the Endocrinology research category. The ranking percentile of Journal of Diabetes Research is around 55% in the field of Endocrinology.

Journal of Diabetes Research Impact Factor 2021-2022 Prediction

Journal of Diabetes Research Impact Factor Predition System

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

Predict Check All Preditions

International Collaboration Trend

Cited Documents Trend

Wskaźnik cytowań History

Year Wskaźnik cytowań
Year Wskaźnik cytowań
2020-2021 4.011
2019-2020 2.965
2018-2019 3.04
2017-2018 2.885
2016-2017 2.717
2015-2016 2.431
2014-2015 2.164
2013-2014 -
2012-2013 -
2011-2012 -
Wskaźnik cytowań History

· The 2020-2021 Wskaźnik cytowań of Journal of Diabetes Research is 4.011
· The 2019-2020 Wskaźnik cytowań of Journal of Diabetes Research is 2.965
· The 2018-2019 Wskaźnik cytowań of Journal of Diabetes Research is 3.04
· The 2017-2018 Wskaźnik cytowań of Journal of Diabetes Research is 2.885
· The 2016-2017 Wskaźnik cytowań of Journal of Diabetes Research is 2.717
· The 2015-2016 Wskaźnik cytowań of Journal of Diabetes Research is 2.431
· The 2014-2015 Wskaźnik cytowań of Journal of Diabetes Research is 2.164
The Wskaźnik cytowań 2013-2014 of Journal of Diabetes Research is still under analysis. Stay Tuned!
The Wskaźnik cytowań 2012-2013 of Journal of Diabetes Research is still under analysis. Stay Tuned!
The Wskaźnik cytowań 2011-2012 of Journal of Diabetes Research is still under analysis. Stay Tuned!

Journal of Diabetes Research
Journal Profile
Journal of Diabetes Research | Academic Accelerator - About the Journal

About

Journal of Diabetes Research is a peer-reviewed, Open Access journal that publishes research articles, review articles, and clinical studies related to type 1 and type 2 diabetes. The journal welcomes submissions focusing on the epidemiology, etiology, pathogenesis, management, and prevention of diabetes, as well as associated complications, such as diabetic retinopathy, neuropathy and nephropathy.

ISSN
2314-6745
ISSN

The ISSN of Journal of Diabetes Research is 2314-6745 . An ISSN is an 8-digit code used to identify newspapers, journals, magazines and periodicals of all kinds and on all media–print and electronic.

ISSN (Online)
2314-6753
ISSN (Online)

The ISSN (Online) of Journal of Diabetes Research is 2314-6753 . An ISSN is an 8-digit code used to identify newspapers, journals, magazines and periodicals of all kinds and on all media–print and electronic.

Publisher
Hindawi Limited
Publisher

Journal of Diabetes Research is published by Hindawi Limited .

Publication Frequency
Annual
Publication Frequency

Journal of Diabetes Research publishes reports Annual .

Coverage
2013 - Present
Coverage

The Publication History of Journal of Diabetes Research covers 2013 - Present .

Open Access
YES
Open Access

Publication Fee
Review
Publication Fee

Language
English
Language

The language of Journal of Diabetes Research is English .

Country/Region
Egypt
Country/Region

The publisher of Journal of Diabetes Research is Hindawi Limited , which locates in Egypt .

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

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)


STUDY DESIGN: This was a prospective study including fetuses at risk for CHD (pregestational diabetes, anticonvulsant use, or history of cardiac defects) during 2 trimester echocardiographic examination.

Micro RNA expression profile in pregnant women complicated fetuses with muscular ventricular septal defects: 236 [10.1016/j.ajog.2018.11.257]


Type 1 diabetes results from a continuous destruction of pancreatic β-cell function and requires life-long administration of exogenous insulin.

The integrated type 1 diabetes management system in China: new practice and horizons [10.3760/CMA.J.ISSN.1008-1372.2019.01.001]


In vivo, our pivotal model for diabetes treatment exhibited an improved glycemic profile of type 2 diabetic rats, where insulin secreted from encapsulated cells was more efficiently used.

ECM-enriched alginate hydrogels for bioartificial pancreas: an ideal niche to improve insulin secretion and diabetic glucose profile [10.1177/2280800019848923]


01, including those relevant to T-helper cell type 1 (Th1) and Th2 immune responses.

Transcriptomics of atopy and atopic asthma in white blood cells from children and adolescents [10.1183/13993003.00102-2019]


The mediating role of negative emotions and the selective impact of DT on tasks that rely heavily on executive functioning are discussed in the light of the stereotype threat model.

Impact of Diagnosis Threat on Neuropsychological Assessment of People with Acquired Brain Injury: Evidence of Mediation by Negative Emotions [10.1093/arclin/acy024]


Hence, data on the demographic-specific prevalence of virus serotypes are vital to optimal clinical measures.

Demographic and clinical profile of patients infected with dengue virus serotypes 1, 2, and 3 in North Karnataka [10.4103/jnsbm.JNSBM_207_18]


C‐reactive protein exacerbates epimelial‐mesenchymal transition through Wnt/β‐catenin and ERK signaling in streptozocin‐induced diabetic nephropathy.

C‐reactive protein exacerbates epithelial‐mesenchymal transition through Wnt/β‐catenin and ERK signaling in streptozocin‐induced diabetic nephropathy [10.1096/fj.201801865RR]


Male Type II diabetic BKS.

miR-146a mediates thymosin β4 induced neurovascular remodeling of diabetic peripheral neuropathy in type-II diabetic mice [10.1016/j.brainres.2018.11.039]


Introduction: The Retro-IDEAL (ILUVIEN Implant for chronic DiabEtic MAcuLar edema) study is a retrospective study designed to assess real-world outcomes achieved with the ILUVIEN® (0.

Three-year results from the Retro-IDEAL study: Real-world data from diabetic macular edema (DME) patients treated with ILUVIEN® (0.19 mg fluocinolone acetonide implant) [10.1177/1120672119834474]


Objective: To assess the effectiveness and safety of therapeutic ultrasound with sham ultrasound on pain relief and functional improvement in knee osteoarthritis patients.

Effects of therapeutic ultrasound for knee osteoarthritis: a systematic review and meta-analysis [10.1177/0269215519866494]


Methods A pilot study to test 3 educational strategies for caregivers of pediatric intensive care unit patients.

Post‐Intensive Care Syndrome: Educational Interventions for Parents of Hospitalized Children [10.4037/ajcc2019151]


A rare variant of this type of lymphoma is found in immunocompromised patients specifically in the gastrointestinal tract with accompanying gastrointestinal symptoms.

Burkitt Lymphoma of the Duodenum: An Uncommon Phenomenon [10.1155/2019/7313706]


He also suffered from many other diseases, including diabetes mellitus and coronary heart disease.

Endoscopic vacuum therapy with open-pore film drainage for colonic anastomotic leakage in a morbidly obese patient. [10.1055/a-0805-0934]


Entretanto, e necessaria um maior conhecimento e conscientizacao da populacao e dos profissionais da area de saude sobre o uso e efeitos destas plantas medicinais no tratamento de Diabetes Mellitus tipo II.

Os principais fitoterapicos que auxiliam no controle da diabetes tipo II [10.20396/ccfenf120181507]


Conclusion: Result of our study revealed that Teneligliptin significantly reduce serum transaminases and liver fat content (LFC) and delay progression of NASH in type 2 diabetes mellitus patients.

1029-P: Teneligliptin Significantly Reduces Liver Fat Content (LFC) and Delays Progression of NASH in Type 2 Diabetes Mellitus Patients [10.2337/DB19-1029-P]


These limits are explicitly derived for confidence regions associated with certain plugin estimators, likelihood ratio tests and Wald tests.

On an asymptotic relative efficiency concept based on expected volumes of confidence regions [10.1080/02331888.2019.1683560]


The composition and hydration variations associated with those units equilibrate the thermal erosion of the craton root and allow for its stability between 100 and 200  km depth.

Lithospheric modification by extension and magmatism at the craton-orogenic boundary: North Tanzania Divergence, East Africa [10.1093/GJI/GGY521]


METHODS We searched PubMed database from January 1999 to August 2018 for studies that reported endovascular treatment modalities, associated clinical outcomes including recanalization, functional independence, mortality or intracranial complications.

Trans Venous Endovascular Recanalization for Cerebral Venous Thrombosis: A Systematic Review and Meta-Analysis. [10.1016/j.wneu.2019.06.211]


The isolated compound from the plant material, 3-hydroxy-alpha-ionone, may contribute to the allelopathic effects of A.

Allelopathic Potency and an Active Substance from Anredera cordifolia (Tenore) Steenis [10.3390/plants8050134]


Given the known antidepressant-like effects of incensole and incensole acetate, we herein present that the low dose intraperitoneal administration of incensole derivatives, namely, incensfuran and incensone, showed significant antidepressant-like effects in the forced swim test (FST) and tail suspension test (TST).

Evidence for the involvement of a GABAergic mechanism in the effectiveness of natural and synthetically modified incensole derivatives in neuropharmacological disorders: A computational and pharmacological approach. [10.1016/j.phytochem.2019.04.007]


Activation of the Q-bands was found to provide similar cytotoxic effects but required significantly larger doses of light.

Optimization of Optical Parameters for Improved Photodynamic Therapy of Staphylococcus aureus Using Endogenous Coproporphyrin III. [10.1016/j.pdpdt.2019.101624]


The goal of this cross-sectional study was to assess the association of plasma galectin-3 concentrations with sonographic measures of carotid atherosclerosis in the Atherosclerosis Risk in Communities study.

Plasma Galectin-3 and Sonographic Measures of Carotid Atherosclerosis in the Atherosclerosis Risk in Communities Study [10.1177/0003319718780772]


Community nurse should be developing fall risk assessment/ screening tool, to assess all people above 55 years & more for to identify those with high risk factors.

Assessment of Elderly People Knowledge Regarding to Home Fall Prevention [10.7176/jhmn/67-03]


MAIN CONCLUSIONS: Correlative SDMs remain valuable for INNS risk mapping and management, but are often criticised for a lack of biological underpinning.

Improving species distribution models for invasive non‐native species with biologically informed pseudo‐absence selection [10.1111/JBI.13555]


HDL-TG was also higher with worsening glucose metabolism.

HDL Triglycerides: A New Marker of Metabolic and Cardiovascular Risk [10.3390/ijms20133151]


Enzymatic and non-enzymatic amperometric glucose sensors based on nanostructured Au-Ni alloy were prepared and compared in their performance.

Comparison of enzymatic and non-enzymatic glucose sensors based on hierarchical Au-Ni alloy with conductive polymer. [10.1016/j.bios.2019.01.028]


e23057Background: Empagliflozin (EMPA), a selective inhibitor of the sodium glucose co-transporter 2 (SGLT2), reduces the risk of hospitalization for heart failure or cardiovascular death in type 2.

Empaglifozin has cardioprotective and anti-inflammatory effects during doxorubicin treatment: A preclinical study. [10.1200/JCO.2019.37.15_SUPPL.E23057]


During insulin treatment, although diabetic ketoacidosis improved, lactic acidosis unexpectedly worsened.

“Switched” metabolic acidosis in mitochondrial diabetes mellitus [10.1111/jdi.12992]


These results anticipated FA-CS NPs as a promising oral insulin candidate.

Folate-Chitosan Nanoparticles Triggered Insulin Cellular Uptake and Improved In vivo Hypoglycemic Activity. [10.1016/j.ijpharm.2019.118708]


Methods Data were downloaded for the past 30 consecutive days from glucose meters and multiple insulin pump models for 80 youth (11-17 years old; n = 40 on multiple daily injections (MDIs) and n = 40 on continuous subcutaneous insulin infusion [CSII]).

Objectively Measured Adherence in Adolescents With Type 1 Diabetes on Multiple Daily Injections and Insulin Pump Therapy [10.1093/jpepsy/jsy064]