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. 2024 Sep 26;16(19):3249.
doi: 10.3390/nu16193249.

Carbohydrate Counting: A Bibliometric Analysis with a Focus on Research

Simge Yilmaz Kavcar  1   2 , Gizem Köse  3 , Kezban Esen Karaca Çelik  3 , Aslı Çelik  4 , Murat Baş  3
Affiliations

Carbohydrate Counting: A Bibliometric Analysis with a Focus on Research

Simge Yilmaz Kavcar et al. Nutrients. .

Abstract

Diabetes is a metabolic disease characterized by hyperglycemia due to impaired insulin secretion, activity, or both. Carbohydrate counting, known for optimal metabolic control, plays in the therapeutic strategy in diabetes. In the last decade, an increasing amount of research has been conducted on carbohydrate counting, and the literature on this topic has been published in academic journals. This bibliometric analysis aimed to comprehensively review and analyze publications from this period, shedding light on trends, developments, and key contributors. The Expanded Science Citation Index published by the Institute for Scientific Information Web of Science, which covers English-language articles published from 1993 to 2024, was used. We selected "carbohydrate counting", "carbohydrate count", "carbohydrate counts", "carbohydrate counts", and similar words as "TOPIC" to search for related articles. All basic information about each article were collected, including authors, countries, citations, and keywords. The findings emphasized the need for continued research in this area and to learn more about studies showing the relationship between carbohydrate counting and the pathophysiology of diabetes, treatment, complications, and technologies. This analysis summarizes the general trends and key findings of research on carbohydrate counting over the past years and provides guidance for future research.

Keywords: carb counting; diet; medical nutrition therapy; type 1 diabetes.

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Conflict of interest statement

The authors declare no conflicts of interest.

Figures

Figure 1
Figure 1
Time intervals of cited articles. Green bars represent the number of publications per year, the blue line represents the number of citations per article per year, and the red line represents the H-index by year. The distribution of articles and total number of citations by year is shown in the figure.
Figure 2
Figure 2
Visualization of the co-authorship of authors. Scale, 1.0; weights, total link strength; scores, average citations.
Figure 3
Figure 3
Visualization of the citations of authors. Scale, 1.0; weights, citations; scores, average citations.
Figure 4
Figure 4
Visualization of the citations of journals. Scale, 1.0; weights, citations; scores, average citations.
Figure 5
Figure 5
Visualisation of cited countries. Scale, 1.0; weights, citations; scores, average citations.
Figure 6
Figure 6
Visualization of the occurrences of keywords. Scale, 1.0; weights, occurrences; scores, average citations.
Figure 7
Figure 7
Percentage scatter plot of the top five document types.
See this image and copyright information in PMC

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This study received no external funding.

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