What is she best known for?
The fields of study she is best known for:
- Internal medicine
- Pathology
- Disease
Her primary areas of study are Veterinary medicine, Breed, Life insurance, Cause of death and Companion animal.
Her Veterinary medicine research is multidisciplinary, incorporating elements of Empirical research and Professional competence, Medical education.
Her Breed research integrates issues from Pyometra and Confidence interval.
Her study on Life insurance is intertwined with other disciplines of science such as Mortality rate and Incidence.
Her Incidence research is multidisciplinary, relying on both Proportional hazards model and Cohort study.
In her research on the topic of Cause of death, Survival analysis is strongly related with Relative risk.
Her most cited work include:
- Influence of companion animals on the physical and psychological health of older people: an analysis of a one-year longitudinal study (272 citations)
- Endometrial biopsy in Holstein-Friesian dairy cows. III. Bacteriological analysis and correlations with histological findings. (154 citations)
- Incidence of and survival after mammary tumors in a population of over 80,000 insured female dogs in Sweden from 1995 to 2002. (151 citations)
What are the main themes of her work throughout her whole career to date?
Her scientific interests lie mostly in Veterinary medicine, Breed, Companion animal, Incidence and Life insurance.
Brenda N. Bonnett has included themes like Medical record, Patient communication, Lameness, Retrospective cohort study and Medical education in her Veterinary medicine study.
Her research in Breed intersects with topics in Poisson regression, Pyometra, Confidence interval, Proportional hazards model and Survival analysis.
Her study in Incidence is interdisciplinary in nature, drawing from both Relative risk, Stepwise regression, Cohort study and Population study.
Her studies deal with areas such as Multivariable model, Epidemiology and Cause of death as well as Relative risk.
Her Family medicine study combines topics from a wide range of disciplines, such as Alternative medicine and Sample.
She most often published in these fields:
- Veterinary medicine (39.13%)
- Breed (21.74%)
- Companion animal (17.39%)
What were the highlights of her more recent work (between 2012-2021)?
- Internal medicine (7.25%)
- Relative risk (8.70%)
- Epidemiology (10.14%)
In recent papers she was focusing on the following fields of study:
Internal medicine, Relative risk, Epidemiology, Veterinary medicine and Club are her primary areas of study.
Her Internal medicine research focuses on Incidence and Cohort study.
Her studies in Incidence integrate themes in fields like Breed, Cocker spaniel and Population study.
Her Relative risk research includes elements of Mortality rate and Retrospective cohort study.
Brenda N. Bonnett conducts interdisciplinary study in the fields of Retrospective cohort study and Life insurance through her research.
Brenda N. Bonnett interconnects Human type, Diabetes mellitus, Obesity, CATS and Risk factor in the investigation of issues within Veterinary medicine.
Between 2012 and 2021, her most popular works were:
- Naturally Occurring Adrenocortical Insufficiency--An Epidemiological Study Based on a Swedish-Insured Dog Population of 525,028 Dogs. (19 citations)
- Disease patterns in 32,486 insured German shepherd dogs in Sweden: 1995–2006 (14 citations)
- Comparison of veterinarian and standardized client perceptions of communication during euthanasia discussions. (8 citations)
In her most recent research, the most cited papers focused on:
- Internal medicine
- Pathology
- Disease
Her primary areas of investigation include Retrospective cohort study, Relative risk, Mortality rate, Epidemiology and Sample.
Her Retrospective cohort study research includes themes of Disease patterns, Disease, Cause of death and Pediatrics.
Her Relative risk research is multidisciplinary, incorporating perspectives in Veterinary medicine, Cocker spaniel, Incidence and Cohort study.
Her Sample study spans across into fields like Client perceptions, Companion animal, Social support, Preparedness and Inappropriate urination.
A majority of her Client perceptions research is a blend of other scientific areas, such as Family medicine, Descriptive research and Stratified sampling.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
