BMC Medical Genomics

Top Research Topics at BMC Medical Genomics?

The journal covers a variety of subjects, including Human genetics, DNA microarray, Genetics, Gene and Gene expression. BMC Medical Genomics explores topics in Human genetics which can be helpful for research in disciplines like Exome sequencing, Cancer, Bioinformatics, Disease and Candidate gene. It explores issues in Bioinformatics which can be linked to other research areas like Breast cancer and Internal medicine.

BMC Medical Genomics focuses on DNA microarray but the discussions also offer insight into other areas such as Gene expression profiling, Transcriptome, Microarray, microRNA and Computational biology. BMC Medical Genomics holds forums on Gene expression profiling that merges themes from other disciplines such as Regulation of gene expression and Immunology. It investigates Computational biology research which frequently intersects with Genomics.

Genome-wide association study, Single-nucleotide polymorphism, Genome, Copy-number variation and Human genome are all aspects of Genetics research featured in BMC Medical Genomics. Presentations on Gene include those discussing Gene regulatory network and Phenotype. The subject of Cancer research, which is connected to the field of Carcinogenesis, serves as the foundation of the Gene expression research featured in the journal.

• Human genetics (37.61%)
• DNA microarray (36.41%)
• Genetics (27.12%)

What are the most cited papers published in the journal?

• The eMERGE Network: a consortium of biorepositories linked to electronic medical records data for conducting genomic studies. (555 citations)
• PrognoScan: a new database for meta-analysis of the prognostic value of genes (417 citations)
• Iron behaving badly: inappropriate iron chelation as a major contributor to the aetiology of vascular and other progressive inflammatory and degenerative diseases (414 citations)

Research areas of the most cited articles at BMC Medical Genomics:

The published articles mainly tackle studies in DNA microarray, Bioinformatics, Genetics, Human genetics and Gene expression profiling. While the journal publications focused on DNA microarray, they were also able to explore topics like Microarray analysis techniques, microRNA and Computational biology. While Bioinformatics is the focus of the published articles, it also provides insights into the studies of Cancer research, Oncology, DNA methylation, Internal medicine and Breast cancer.

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:

The journal explores disciplines such as Human genetics, Gene, DNA microarray, Internal medicine and Genetics. BMC Medical Genomics addresses concerns in Human genetics which are intertwined with other disciplines, such as Exome sequencing, Phenotype, Copy-number variation, Immunology and Disease. While the primary focus in it is DNA microarray, it also dissects topics surrounding Computational biology and DNA sequencing as a whole.

While the journal focused on Internal medicine, it was also able to explore topics like Gastroenterology, Genome-wide association study, Polymorphism (computer science) and Oncology. In addition to Genome-wide association study research, it aims to explore topics under Genetic association and Candidate gene. The presented Gene expression research focuses mostly on Cancer research and, on occasion, topics in Immune system.

The most cited articles from the last journal are:

• Modifiable lifestyle factors and severe COVID-19 risk: a Mendelian randomisation study. (11 citations)
• Detection of gene fusions using targeted next-generation sequencing: a comparative evaluation. (8 citations)
• High performance logistic regression for privacy-preserving genome analysis (6 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 BMC Medical Genomics (based on the number of publications) are:

• Dokyoon Kim (12 papers) absent at the last edition,
• Zhongming Zhao (11 papers) absent at the last edition,
• Younghee Lee (9 papers) absent at the last edition,
• Youping Deng (9 papers) absent at the last edition,
• Taesung Park (8 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 BMC Medical Genomics (based on the number of publications) are:

• Harvard University (43 papers) published 6 papers at the last edition, 2 more than at the previous edition,
• Boston Children's Hospital (40 papers) published 14 papers at the last edition, 11 more than at the previous edition,
• National Institutes of Health (39 papers) published 1 paper at the last edition, 2 less than at the previous edition,
• Shanghai Jiao Tong University (38 papers) published 10 papers at the last edition, 3 more than at the previous edition,
• Mayo Clinic (33 papers) published 4 papers at the last 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, 3.73% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 17.67% were posted by at least one author from the top 10 institutions publishing in the journal. Another 6.90% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 10.78% of all publications and 64.66% 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.