| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Molecular Biology | 153 | 8 | 15 | 5 |
| Microbiology | 249 | 9 | 10 | 6 |
| Biology and Biochemistry | 426 | 56 | 58 | 15 |
| Medicine | 1905 | 73 | 64 | 13 |
The main research concerns discussed in Clinical Proteomics are Proteomics, Proteome, Pathology, Bioinformatics and Biomarker (medicine). The Proteomics works featured in Clinical Proteomics incorporate elements from Molecular biology and Computational biology. Cancer research, Tandem mass spectrometry, Immunology and Cell biology are some topics wherein Proteome research discussed in it have an impact.
It explores the study of Tandem mass spectrometry to improve our understanding of the broader topic of Mass spectrometry. Presentations on Pathology include those discussing Cerebrospinal fluid and Immunohistochemistry. Many of the studies tackled connect Bioinformatics with a similar field of study like Disease.
Issues in Biomarker (medicine) were discussed, taking into consideration concepts from other disciplines like Blood proteins and Oncology. Clinical Proteomics facilitates discussions on Internal medicine that incorporate concepts from other fields like Gastroenterology and Endocrinology.
The main points discussed in the journal papers deal with Proteomics, Proteome, Pathology, Bioinformatics and Biomarker (medicine). Proteomics research is the primary subject tackled in the most cited papers with a focus in Biomarker discovery. Selected reaction monitoring, Internal medicine, Kidney disease and Oncology are some topics wherein Pathology research discussed in the most cited publications has an impact.
The scientific interests tackled in Clinical Proteomics are Proteomics, Proteome, Blot, Quantitative proteomics and Internal medicine. The work on Proteomics tackled in it brings together disciplines like Cancer research, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Blood proteins, Computational biology and Peptide. It focuses on Proteome research as part of the broader topic of Biochemistry.
Clinical Proteomics focuses on Blot but sometimes tackles the closely related topic of Andrology which is concerned with Cell, Pathogenesis, Decidua, Decidual cells and Gestational hypertension. While work presented in Clinical Proteomics provided substantial information on Quantitative proteomics, it also covered topics in Bone mineral, Bone disease, Osteoporosis, Bone tissue and Bone remodeling. The featured Internal medicine studies mainly concentrate on Oncology but also cover areas of interest in Incidence (epidemiology), Medical record, Calibration (statistics), Retrospective cohort study and Confidence interval.
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 Clinical Proteomics (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 Clinical Proteomics (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, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 16.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 20.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 8.00% of all publications and 56.00% 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.
Andrew Macklin;Shahbaz Khan;Thomas Kislinger;Thomas Kislinger
(2020)Maotian Zhou;Rafi U. Haque;Eric B. Dammer;Duc M. Duong
(2020)Cristina M. Pedrero-Prieto;Sonia García-Carpintero;Javier Frontiñán-Rubio;Emilio Llanos-González
(2020)Jeremy A. Herrera;Jeremy A. Herrera;Venkatesh Mallikarjun;Venkatesh Mallikarjun;Silvia Rosini;Silvia Rosini;Maria Angeles Montero
(2020)Alexander G. Thompson;Elizabeth Gray;Imre Mäger;Marie-Laëtitia Thézénas
(2020)Svend Birkelund;Tue Bjerg Bennike;Kenneth Kastaniegaard;Mads Lausen
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