| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 658 | 11 | 14 | 3 |
| Medicine | 2475 | 47 | 38 | 9 |
The objective of the journal is to combine knowledge in the areas of Statistics, Econometrics, Clinical trial, Sample size determination and Data mining. Confidence interval, Type I and type II errors, Statistical hypothesis testing, Covariate and Estimator are among the areas of Statistics tackled. The concepts on Econometrics presented in the journal can also apply to other research fields, including Bioequivalence and Missing data.
It holds forums on Clinical trial that merges themes from other disciplines such as Drug development, Medical physics, Randomized controlled trial and Bayesian probability. While work presented in it provided substantial information on Sample size determination, it also covered topics in Research design and Equivalence (measure theory).
The journal papers focus on Statistics, Clinical trial, Econometrics, Sample size determination and Data mining. While Econometrics is the focus of the most cited articles, it also provides insights into the studies of Selection (genetic algorithm), Missing data, Estimator and Repeated measures design. The most cited papers focus on Data mining but the discussions also offer insight into other areas such as Bayesian probability and Bayes' theorem.
Journal of Biopharmaceutical Statistics primarily focuses on research topics in Statistics, Clinical trial, Sample size determination, Covariate and Machine learning. The research on Statistics discussed in Journal of Biopharmaceutical Statistics draws on the closely related field of Variance (accounting). Clinical trial research presented in Journal of Biopharmaceutical Statistics encompasses a variety of subjects, including Physical therapy, Categorical variable, Data science and Hysteresis (economics).
Sample size determination research featured in the journal incorporates concerns from various other topics such as Test (assessment), Interim analysis, Duration (project management), Binary number and Protocol (science). The studies on Covariate discussed can also contribute to research in the domains of Cut off point, Parametric statistics, Linear regression and Bayesian inference. It facilitates discussions on Machine learning that incorporate concepts from other fields like Statistical inference and Prior probability, Bayesian probability, Artificial intelligence.
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 Journal of Biopharmaceutical Statistics (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 Journal of Biopharmaceutical Statistics (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, 7.27% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 23.53% were posted by at least one author from the top 10 institutions publishing in the journal. Another 13.73% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 15.69% of all publications and 47.06% 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.
Wei Chen Chen;Chenguang Wang;Heng Li;Nelson Lu
(2020)Chenguang Wang;Nelson Lu;Wei Chen Chen;Heng Li
(2020)Ian R. White;Royes Joseph;Nicky Best
(2020)Mo Li;Rachael Liu;Jianchang Lin;Veronica Bunn
(2020)Samvel B Gasparyan;Elaine K Kowalewski;Folke Folkvaljon;Olof Bengtsson
(2021)Anastasia Ivanova;Elliot Israel;Lisa M. LaVange;Michael C. Peters
(2020)Nelson Lu;Chenguang Wang;Wei-Chen Chen;Heng Li
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