PeerJ

Top Research Topics at PeerJ?

The discussions in PeerJ mainly cover the fields of Ecology, Zoology, Gene, Internal medicine and Genetics. The main emphasis of PeerJ is the subject of Ecology, focusing on Habitat. Gene study tackled is connected to the field of Computational biology.

The Internal medicine works featured in it incorporate elements from Endocrinology and Oncology. Genetics works presented in the journal have a specific focus on Genome.

• Ecology (11.86%)
• Zoology (6.82%)
• Gene (6.24%)

What are the most cited papers published in the journal?

• VSEARCH: a versatile open source tool for metagenomics (3280 citations)
• scikit-image: Image processing in Python (1957 citations)
• Poppr: an R package for genetic analysis of populations with clonal, partially clonal, and/or sexual reproduction. (1198 citations)

Research areas of the most cited articles at PeerJ:

The most cited papers aim to foster the development of research in Ecology, Genetics, Genome, Gene and Zoology. Topics like Habitat, Coral, Reef, Coral reef and Range (biology) are tackled as part of the discussions on Ecology in the journal papers. The published papers deal with Genome in conjunction with Phylogenetic tree and similar fields in Evolutionary biology.

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

• Ecology
• Internal medicine
• Gene

The previous edition focused in particular on these issues:

The journal covers a variety of subjects, including Artificial intelligence, Ecology, Gene, Internal medicine and Computational biology. The research on Artificial intelligence featured in the journal combines topics in other fields like Machine learning and Pattern recognition. Gene studies tackled cover an aspect of the field of Genetics.

PeerJ focused on Internal medicine research but expanded to cover Oncology.

The most cited articles from the last journal are:

• ECOVNet: a highly effective ensemble based deep learning model for detecting COVID-19 (21 citations)
• Cervical cancer detection in pap smear whole slide images using convNet with transfer learning and progressive resizing. (13 citations)
• Data augmentation based malware detection using convolutional neural networks. (10 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 PeerJ (based on the number of publications) are:

• Kenneth B. Storey (30 papers) published 1 paper at the last edition, 2 less than at the previous edition,
• Robert J. Toonen (24 papers) published 2 papers at the last edition, 2 less than at the previous edition,
• Danilo Garcia (24 papers) published 2 papers at the last edition the same number as at the previous edition,
• Justin W L Keogh (22 papers) published 3 papers at the last edition, 1 less than at the previous edition,
• Abram Hindle (21 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 PeerJ (based on the number of publications) are:

• Chinese Academy of Sciences (395 papers) published 48 papers at the last edition, 30 less than at the previous edition,
• Spanish National Research Council (161 papers) published 25 papers at the last edition, 8 more than at the previous edition,
• National Autonomous University of Mexico (155 papers) published 18 papers at the last edition, 12 less than at the previous edition,
• American Museum of Natural History (115 papers) published 21 papers at the last edition, 7 more than at the previous edition,
• University of Malaya (112 papers) published 11 papers at the last edition, 6 less 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, 45.15% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 9.69% were posted by at least one author from the top 10 institutions publishing in the journal. Another 3.79% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 9.29% of all publications and 77.24% 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.

Career Overview: Becoming a Pharmacist

Though our discussions primarily revolve around research topics, we also acknowledge the importance of career development for aspiring professionals in the medical field. One such profoundly impactful profession is that of a pharmacist. A pharmacist has immense responsibilities, apart from dispensing prescription medications to patients. They also offer advice on the safe use of prescriptions, answer patients' questions about general health topics, and sometimes even provide immunizations. More importantly, many pharmacists conduct health and wellness screenings, providing information on better managing diseases. Becoming a licensed pharmacist, especially in U.S states like Colorado, requires planning and commitment. Candidates must first complete two years of specific prerequisite courses. Following this, they must complete a Doctor of Pharmacy degree program, which usually takes four years. Then they must pass the North American Pharmacist Licensure Examination and the Multi-state Pharmacy Jurisprudence Examination for Colorado specifically. To help you gain further insight, we have compiled a comprehensive guide on how long does it take to become a pharmacist in Colorado, detailing each phase of education, licensing, and beyond. You will find vital information including the typical cost of tuition, tips on passing licensure exams, opportunities beyond traditional pharmacy roles, and networking strategies for career progression.