Trends in Biotechnology

Top Research Topics at Trends in Biotechnology?

The journal was organized to reinforce research efforts on Biotechnology, Computational biology, Nanotechnology, Genetics and Biochemistry. Trends in Biotechnology explores issues in Biotechnology which can be linked to other research areas like Agriculture and Biochemical engineering. The Computational biology works featured in it incorporate elements from Proteomics and Bioinformatics.

In particular, the Nanotechnology works presented emphasize discussions on Biosensor. Genetics, which encompasses Gene and Genome, is the main subject of Trends in Biotechnology. The work on Biochemistry presented in the journal focuses on Enzyme in particular.

• Biotechnology (17.29%)
• Computational biology (13.25%)
• Nanotechnology (11.98%)

What are the most cited papers published in the journal?

• ZFN, TALEN, and CRISPR/Cas-based methods for genome engineering (2445 citations)
• Microbial fuel cells: novel biotechnology for energy generation (1706 citations)
• Biodiesel from microalgae beats bioethanol. (1680 citations)

Research areas of the most cited articles at Trends in Biotechnology:

Biotechnology, Nanotechnology, Biochemistry, Computational biology and Biochemical engineering are the main subjects of interest in the most cited publications. The most cited publications hold forums on Nanotechnology that merge themes from other disciplines such as Tissue engineering and Polymer. The most cited papers explore issues in Computational biology which can be linked to other research areas like Genetics and Genomics.

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

• Gene
• Enzyme
• DNA

The previous edition focused in particular on these issues:

The objective of the journal is to combine knowledge in the areas of Biochemical engineering, Computational biology, Synthetic biology, Nanotechnology and Genome editing. In the journal, Biomass, Biofuel, Carbon source and Metabolic engineering are investigated in conjunction with one another to address concerns in Biochemical engineering research. The research on Computational biology tackled can also make contributions to studies in the areas of Genome, CRISPR and Proteomics.

The CRISPR research discussed is included in the broader subject of Gene. It holds forums on Synthetic biology that merges themes from other disciplines such as Biomanufacturing, Protein engineering and Biochemistry. Biosensor is the primary subject of Nanotechnology works presented in it.

The most cited articles from the last journal are:

• Uncovering an Organ’s Molecular Architecture at Single-Cell Resolution by Spatially Resolved Transcriptomics (40 citations)
• New Twists in Detecting mRNA Modification Dynamics. (32 citations)
• In situ Biogas Upgrading by CO2-to-CH4 Bioconversion. (26 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 Trends in Biotechnology (based on the number of publications) are:

• Martin J Davies (59 papers) absent at the last edition,
• David McKay (54 papers) absent at the last edition,
• Michael J. Geisow (49 papers) absent at the last edition,
• John A. Bryant (22 papers) absent at the last edition,
• Douglas B. Kell (18 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 Trends in Biotechnology (based on the number of publications) are:

• Wageningen University and Research Centre (66 papers) published 11 papers at the last edition, 5 more than at the previous edition,
• Massachusetts Institute of Technology (65 papers) published 2 papers at the last edition, 1 more than at the previous edition,
• University of Nottingham (59 papers) published 1 paper at the last edition,
• Imperial College London (50 papers) published 5 papers at the last edition, 2 less than at the previous edition,
• Stanford University (47 papers) absent 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, 2.37% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 23.03% were posted by at least one author from the top 10 institutions publishing in the journal. Another 7.27% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 12.73% of all publications and 56.97% 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.

How Biotechnology Research Impacts Healthcare

An additional field wherein the implications of biotechnology research are directly observable is in the realm of healthcare. The scientific exploration of biotechnology contributes to advancements in diagnostics, treatments, regenerative medicine and more. A common thread between these sectors is the application of molecular techniques grounded in biotechnology. Recent publications in Trends in Biotechnology shed light on the potential of genetic manipulation and computational biology in medical applications. For instance, the use of genome-editing tools like CRISPR is heralding a new era in personalized medicine, enabling us to target specific genetic anomalies causing diseases. Computational biology, on the other hand, is instrumental in identifying trends and patterns from complex biological data, which plays a critical role in developing new therapeutic strategies. Similarly, Nanotechnology is revolutionizing drug delivery systems, making them more targeted and reducing side effects. The emphasis on the development of biosensors in nanotechnology publications can translate to advancements in diagnostic devices that are more sensitive and accurate. Moreover, studying contributions by certified professionals directly involved in healthcare, such as medical assistant certification in Texas, sheds light on the practical application of these advancements - how they are being incorporated in healthcare protocols and patient care. To sum up, Biotechnology research is playing a transformative role in healthcare, making diagnostics more accurate, treatments more effective, and overall care more personalized. The direct association between research goals/thrust areas in Biotechnology and advancements in healthcare accentuates the multi-disciplinary nature of the field. Hence it is essential to look at this aspect while evaluating the impact of Biotechnology research.