| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Medicine | 42 | 1814 | 3599 | 94 |
The objective of the journal is to combine knowledge in the areas of Internal medicine, Endocrinology, Obesity, Environmental health and Food science. The in-depth study on Internal medicine also explores topics in the intersecting field of Gastroenterology. Endocrinology study tackled is connected to the field of Inflammation.
The Obesity research presented places emphasis on topics like Overweight and Weight loss. The Environmental health study featured in Nutrients draws parallels with the field of Micronutrient. Type 2 diabetes is a primary topic of Diabetes mellitus research in Nutrients.
The work on Vitamin D and neurology addressed in the journal expands to the thematically related Vitamin. The study on Oxidative stress presented in Nutrients intersects with subjects under the field of Antioxidant.
The published papers generally zeroe in on subjects such as Internal medicine, Endocrinology, Food science, Obesity and Environmental health. Most of the Internal medicine studies addressed in the journal publications also intersect with Gastroenterology. Issues in Environmental health were discussed in the published papers, taking into consideration concepts from other disciplines like Micronutrient and Public health.
Nutrients investigates areas of study like Internal medicine, Endocrinology, Obesity, Environmental health and Physiology. The journal focuses on Internal medicine but the discussions also offer insight into other areas such as Gastroenterology and Placebo. Endocrinology research is the primary subject tackled in Nutrients with a focus on Insulin.
It dives deep in exploring the relationship between the study of Obesity and Body mass index. The Vitamin D and neurology study tackled is a key component of adjacent topics in the area of Vitamin.
A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.
The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.
The top authors publishing in Nutrients (based on the number of publications) are:
The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.
Only papers with recognized affiliations are considered
The top affiliations publishing in Nutrients (based on the number of publications) are:
The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.
The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.
The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.
During the most recent 2021 edition, 5.05% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 13.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 5.58% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 11.58% of all publications and 69.84% were from other institutions.
A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.
The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.
The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.
Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).
The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
Considering the collaborative nature of scientific research, it's valuable to analyze the collaborative relationships and connections among different institutions that contribute to Nutrients. A well-known graph theory approach is used for analyzing these relationships, where nodes represent the institutions and the edges represent a collaborative relationship.
Institutions achieve higher centralities if they hold a key role within the network of collaborations, which can indicate a leading role or strategic position in the scientific community involved in the journal Nutrients. Main connectors, which are institutions that connect different clusters, are also identified as they play a significant role in disseminating knowledge and innovations across different scientific communities.
It's crucial to highlight that distance on the graph doesn't correlate with geographical distance. Closer institutions on the graph have stronger collaborative ties. Readers interested in this subject may find further information about the modelling process and research methodology on universities ranking in the analysis of the best online nursing programs in washington.
The visualization of this network analysis helps us to understand the nature and extent of collaborations, the predominant institutions, and how information and research might flow within the field.
William B. Grant;Henry Lahore;Sharon L. McDonnell;Carole A. Baggerly
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(2021)Unknown
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