| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Neuroscience | 225 | 63 | 64 | 13 |
The main points discussed in the journal deals with Neuroscience, Artificial intelligence, Internal medicine, Neuron and Stimulus (physiology). It explores research in Neuroscience and the adjacent study of Biological system. It explores issues in Artificial intelligence which can be linked to other research areas like Algorithm, Machine learning, Computer vision and Pattern recognition.
Studies on Internal medicine discussed in the journal link to the field of Endocrinology.
The most cited articles mainly deal with areas of study such as Neuroscience, Cell biology, Endocrinology, Internal medicine and Pathology. The most cited papers cover various topics on Neuroscience such as Brain mapping, Prefrontal cortex, Electroencephalography, Sensory system and Stimulation. The published articles with studies in Cell biology featured incorporate elements of Cell culture and Molecular biology.
The foci of the journal are Internal medicine, Endocrinology, Neuroscience, Cognition and Audiology. The presented Internal medicine research focuses mostly on Cardiology and, on occasion, topics in Fluid-attenuated inversion recovery, Magnetic resonance imaging, Circle of Willis and Meta-analysis. The close relationship between Anxiety and Apolipoprotein E, MMP9, Water maze and Open field is one of the points of interest dissected in Endocrinology research.
The study on Neuroscience presented is investigated in conjunction with research in Closure rate. The concepts on Cognition presented in BMC Neuroscience can also apply to other research fields, including White matter and Monetary incentive delay task. While the primary focus in it is Audiology, it also dissects topics surrounding Working memory and Effects of sleep deprivation on cognitive performance, Prefrontal cortex, Physical strength, Reading disability and Reading (process) as a whole.
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 BMC Neuroscience (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 BMC Neuroscience (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, 8.06% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 1.75% were posted by at least one author from the top 10 institutions publishing in the journal. Another 0.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 7.02% of all publications and 91.23% 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.
Careers in the subjects extensively covered in the journal, such as neurosciences and artificial intelligence, offer possibilities to contribute significantly in essential disciplines like medicine, biotechnology, and IT. Inspired by the main research topics in the journal, many students and professionals may want to deepen their understanding and explore career prospects in these fields.
One such career, for instance, is becoming a Speech-Language Pathologist (SLP). This field resides at the intersection of audiology and neuroscience, a common area of research in the BMC Neuroscience journal. These professionals work closely with patients who have trouble communicating due to developmental, neurological, or physical issues, thus making substantial contributions to healthcare and diagnostics.
To become an SLP, certain educational and licensing requirements must be fulfilled. In Maryland, for instance, specific guidelines are followed to ensure an aspiring SLP is competent and prepared. To learn more details about this process, please review the information on how to fulfill maryland slp license requirements.
Similarly, individuals passionate about research in Artificial Intelligence can explore career prospects in technology-based enterprises, robotics, academia, and many others. By integrating AI with neurobiology, these professionals could create solutions with cutting-edge applications in various sectors.
Furthermore, a myriad of opportunities also rests in other predominant fields presented in the journal, such as Internal medicine and Endocrinology. However, irrespective of the chosen path, continual research and knowledge deepening are significant to stay current and impactful in today's fast-paced research-driven world.
Charis Ringland;Charis Ringland;Jonas Elias Schweig;Maxwell Thomas Eisenbaum;Maxwell Thomas Eisenbaum;Daniel Paris
(2021)Isha Dhingra;Sheng Zhang;Simon Zhornitsky;Wuyi Wang
(2021)Katerina V. A. Johnson;Philip W. J. Burnet
(2020)Jolanta L. Lundgren;Lina Vandermeulen;Anna Sandebring-Matton;Saheeb Ahmed
(2020)Sahar Avazzadeh;Leo R Quinlan;Jamie Reilly;Katya McDonagh
(2021)Tom Behrendt;Franziska Kirschnick;Lasse Kröger;Phillip Beileke
(2021)Fabian Herold;Tom Behrendt;Alexander Törpel;Dennis Hamacher
(2021)Nicole Rosenberg;Klas Ihme;Vladimir Lichev;Julia Sacher;Julia Sacher
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