Published by: MDPI
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Medicine | 480 | 635 | 705 | 35 |
The aim of Journal of Personalized Medicine is to expand the discussion of research in Internal medicine, Disease, Personalized medicine, Oncology and Cancer. It addresses concerns in Internal medicine which are intertwined with other disciplines, such as Gastroenterology, Endocrinology and Cardiology. Most of the Disease studies addressed also intersect with Bioinformatics.
While work presented in the journal provided substantial information on Personalized medicine, it also covered topics in Precision medicine and Health care. The Oncology study featured in the journal draws connections with the study of Breast cancer. The work on Cancer addressed in Journal of Personalized Medicine expands to the thematically related Cancer research.
The journal papers tackle a plethora of topics, such as Personalized medicine, Bioinformatics, Pharmacogenomics, Health care and Alternative medicine. While work presented in the most cited articles provide substantial information on Personalized medicine, it also covers topics in Biobank, MEDLINE, Genetic testing, Intensive care medicine and Data science. The most cited publications explore issues in Health care which can be linked to other research areas like Precision medicine and Knowledge management.
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 Journal of Personalized Medicine (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 Journal of Personalized Medicine (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, 7.74% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 19.41% were posted by at least one author from the top 10 institutions publishing in the journal. Another 9.34% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 16.26% of all publications and 54.98% 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.
Personalized Medicine offers a multitude of career opportunities. As the field continues to grow, practitioners and researchers remain at the forefront of evolving healthcare practices. And one such important position is the role of a nurse specializing in personalized medicine. Becoming a nurse in this field requires meeting specific educational and licensing requirements as dictated by the nursing board of a particular state. For instance, the ohio nursing license requirements involve meeting a defined set of nursing license education requirements, including specific coursework and clinical hours. Fleeting trends in personalized medicine expand the range of practice areas, creating more demand for specialized professionals in the field.
Personalized medicine is data-driven, and it should be no surprise that there are also opportunities for bioinformaticians and data scientists to build their careers in the field. These professionals can contribute to predictive modeling, molecular biology, and algorithm creation, all of which are integral parts of personalized medicine.
In summary, whatever your professional background might be, if you have an interest in improving healthcare practice, there is likely a role for you in personalized medicine.
Shruti Atul Mali;Abdalla Ibrahim;Henry C Woodruff;Vincent Andrearczyk
(2021)Dong Huang;Lingna Sun;Leaf Huang;Yanzuo Chen
(2021)Antonio Pellino;Stefano Brignola;Erika Riello;Monia Niero
(2021)Olivia Patsalos;Johanna Keeler;Ulrike Schmidt;Ulrike Schmidt;Brenda W. J. H. Penninx
(2021)Jennifer D. Brooks;Hermann H. Nabi;Irene L. Andrulis;Antonis C. Antoniou
(2021)Ruggero De Maria Marchiano;Gabriele Di Sante;Geny Piro;Carmine Carbone
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