Genome Medicine

Top Research Topics at Genome Medicine?

The foci of the journal are Human genetics, Bioinformatics, Systems biology, Genetics and Computational biology. The journal facilitates discussions on Human genetics that incorporate concepts from other fields like Genome, Genomics, Disease and Proteomics. Presentations on Genome include those discussing Whole genome sequencing and Human genome.

The study on Disease presented in Genome Medicine intersects with the topics under Immunology. The research on Bioinformatics tackled can also make contributions to studies in the areas of Alternative medicine and Internal medicine. The journal explores issues in Systems biology which can be linked to other research areas like Data science, Cancer and Metabolomics.

Cancer research in the journal involves the investigation of Cancer research studies, all of which are linked to disciplines such as DNA methylation. Topics like Exome sequencing, DNA sequencing, Allele, Genetic association and Phenotype are tackled as part of the discussions on Genetics. The Exome sequencing research dealing mostly with Exome is the focus of it.

• Human genetics (49.90%)
• Bioinformatics (29.93%)
• Systems biology (29.59%)

What are the most cited papers published in the journal?

• Analysis of 100,000 human cancer genomes reveals the landscape of tumor mutational burden (1312 citations)
• The Human Gene Mutation Database: 2008 update (722 citations)
• The healthy human microbiome (702 citations)

Research areas of the most cited articles at Genome Medicine:

The most cited publications primarily focus on research topics in Human genetics, Genetics, Bioinformatics, Systems biology and Computational biology. The most cited publications focus on Human genetics but sometimes tackle the closely related topic of Disease which is concerned with Immunology. While the primary focus in the journal publications is Systems biology, they also dissect topics surrounding Proteomics and microRNA and Transcriptome as a whole.

What topics the last edition of the journal is best known for?

• Gene
• Cancer
• Internal medicine

The previous edition focused in particular on these issues:

Genome Medicine investigates studies in Human genetics, Computational biology, Systems biology, Gene and Genetics. It explores topics in Human genetics which can be helpful for research in disciplines like Cancer, Genome-wide association study, Phenotype, Genomics and Disease. Issues in Cancer were discussed, taking into consideration concepts from other disciplines like Exome sequencing, Oncology and Cohort.

The subject of Genome, which is connected to the field of Antibiotic resistance, serves as the foundation of the Computational biology research featured in it. In addition to Systems biology research, Genome Medicine aims to explore topics under MEDLINE, Identification (biology), Deep learning, Artificial intelligence and Data science. While the primary focus in the journal is Transcriptome, it also dissects topics surrounding Immunology and Microbiome as a whole.

The most cited articles from the last journal are:

• Disease severity-specific neutrophil signatures in blood transcriptomes stratify COVID-19 patients. (48 citations)
• CADD-Splice—improving genome-wide variant effect prediction using deep learning-derived splice scores (24 citations)
• IFN-γ and TNF-α drive a CXCL10+ CCL2+ macrophage phenotype expanded in severe COVID-19 lungs and inflammatory diseases with tissue inflammation. (23 citations)

Papers citation over time

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.

Top authors and change over time

The top authors publishing in Genome Medicine (based on the number of publications) are:

• James R. Lupski (24 papers) published 1 paper at the last edition,
• Richard A. Gibbs (15 papers) absent at the last edition,
• Stephan Beck (15 papers) published 1 paper at the last edition,
• Charles Auffray (14 papers) absent at the last edition,
• Stuart H. Orkin (13 papers) absent at the last edition.

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.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing in Genome Medicine (based on the number of publications) are:

• Harvard University (127 papers) published 22 papers at the last edition, 5 more than at the previous edition,
• National Institutes of Health (62 papers) published 7 papers at the last edition, 2 less than at the previous edition,
• Stanford University (55 papers) published 6 papers at the last edition, 1 more than at the previous edition,
• University of Cambridge (54 papers) published 6 papers at the last edition the same number as at the previous edition,
• Boston Children's Hospital (52 papers) published 8 papers at the last edition, 2 more than at the previous edition.

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.

Publication chance based on affiliation

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, 1.22% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 30.25% were posted by at least one author from the top 10 institutions publishing in the journal. Another 15.43% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 19.75% of all publications and 34.57% were from other institutions.

Returning Authors Index

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.

Returning Institution Index

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.

The experience to innovation index

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:

• Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
• Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
• Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
• Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
• Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.