| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Animal Science and Veterinary | 209 | 6 | 10 | 5 |
The main points discussed in Laboratory Animals deals with Anesthesia, Internal medicine, Pathology, Surgery and Endocrinology. The studies on Anesthesia discussed can also contribute to research in the domains of Blood pressure and Heart rate. It explores research in Internal medicine and the adjacent study of Cardiology.
It investigates Pathology research which frequently intersects with Anatomy.
The journal publications investigate studies in Anesthesia, Internal medicine, Pathology, Endocrinology and Surgery. The published papers explore topics in Anesthesia which can be helpful for research in disciplines like Buprenorphine and Pharmacology. The most cited papers are mostly focused on Internal medicine, specifically Body weight.
The journal mainly deals with areas of study such as Anesthesia, Computational biology, Physiology, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and Coronavirus disease 2019 (COVID-19). The study on Anesthesia presented is investigated in conjunction with research in Medetomidine. While the journal focused on Medetomidine, it was also able to explore topics like Ketamine and Midazolam.
Topics in Computational biology explored in it were investigated in conjunction with research in Genome editing and CRISPR. The study of CRISPR encompasses disciplines such as Genome, as well as fields such as Animal model, all of which overlap with one another. Research on 2019-20 coronavirus outbreak presented in Laboratory Animals concerns the broader topic of Virology.
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 Laboratory Animals (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 Laboratory Animals (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, 18.68% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 12.16% were posted by at least one author from the top 10 institutions publishing in the journal. Another 8.11% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 22.97% of all publications and 56.76% 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.
Michael W Brunt;Lucia Améndola;Daniel M Weary
(2021)Anne S Mallien;Christine Häger;Rupert Palme;Steven R Talbot
(2020)Leonie Zieglowski;Anna Kümmecke;Lisa Ernst;Mareike Schulz
(2020)Stephanie Buchheister;Florian Roegener;Nils-Holger Zschemisch;Steven R. Talbot
(2020)Laura A Galganski;Benjamin A Keller;Connor Long;Kaeli J Yamashiro
(2021)Jessica Frei;Marcus Clauss;Daniela E Winkler;Thomas Tütken
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