Header Logo
Keywords
Last Name
Institution
Announcement

You can now add alternative names! Click here to add other names that you've published under.

Brittany Beasley

Concepts (22)

Concept scores are derived automatically based on a person's publications. Keywords in the their attributed publications are matched to keywords from the National Library of Medicine's controlled vocabulary thesaurus, MeSH (Medical Subject Headings). The strength of a person's concept scores is based not only on the number of corresponding publications, but also how relevant the concepts are to the overall topics of the publications, how long ago the publications were written, whether the person was the first or senior author, and how many other people have written about the topic.Concepts cannot be directly edited. You can help ensure your concepts are accurate by making sure your attributed publications are correct and up-to-date. We recommend checking over your attributed publications list every three to four months.

Concepts are listed by decreasing relevance which is based on many factors, including how many publications the person wrote about that topic, how long ago those publications were written, and how many publications other people have written on that same topic.

Name Number of Publications Most Recent Publication Publications by All Authors Concept Score Why?
Education, Nursing, Graduate
1
2023
21
0.810
Why?
Education, Nursing
1
2023
26
0.800
Why?
Prodromal Symptoms
1
2017
9
0.550
Why?
Coronary Disease
1
2017
164
0.500
Why?
Myocardial Infarction
1
2017
445
0.410
Why?
Risk Assessment
1
2017
1339
0.390
Why?
Delivery of Health Care
1
2023
318
0.170
Why?
Curriculum
1
2023
392
0.170
Why?
Pandemics
1
2023
579
0.150
Why?
Kentucky
1
2017
47
0.140
Why?
Fatigue
1
2017
129
0.130
Why?
Longitudinal Studies
1
2017
742
0.110
Why?
Logistic Models
1
2017
925
0.110
Why?
Predictive Value of Tests
1
2017
939
0.110
Why?
Reproducibility of Results
1
2017
1214
0.110
Why?
Arkansas
1
2017
2016
0.090
Why?
Time Factors
1
2017
2970
0.090
Why?
Humans
2
2023
52114
0.060
Why?
Aged
1
2017
10142
0.050
Why?
Middle Aged
1
2017
13028
0.050
Why?
Male
1
2017
26652
0.030
Why?
Female
1
2017
28055
0.030
Why?
Beasley's Networks
Click the "See All" links for more information and interactive visualizations!
Concepts Expand Description
_
Co-Authors Expand Description
_
Similar People Expand Description
_
Same Department Expand Description