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?
|
|---|
| Quinolines | 1 | 2015 | 41 | 0.480 |
Why?
|
| Acetates | 1 | 2015 | 49 | 0.480 |
Why?
|
| Telemedicine | 4 | 2023 | 467 | 0.450 |
Why?
|
| Asthma | 1 | 2015 | 282 | 0.370 |
Why?
|
| Mental Disorders | 1 | 2015 | 400 | 0.350 |
Why?
|
| Health Status Disparities | 2 | 2022 | 196 | 0.330 |
Why?
|
| Pregnancy Complications | 2 | 2023 | 381 | 0.300 |
Why?
|
| Morbidity | 3 | 2023 | 132 | 0.290 |
Why?
|
| Delivery of Health Care | 2 | 2022 | 308 | 0.270 |
Why?
|
| Medicare | 2 | 2023 | 245 | 0.240 |
Why?
|
| Pregnant Women | 1 | 2023 | 76 | 0.210 |
Why?
|
| Insurance, Health | 1 | 2023 | 131 | 0.200 |
Why?
|
| Prenatal Care | 1 | 2023 | 108 | 0.200 |
Why?
|
| Insurance Coverage | 1 | 2023 | 110 | 0.190 |
Why?
|
| Pregnancy | 6 | 2023 | 2609 | 0.180 |
Why?
|
| Infant, Small for Gestational Age | 1 | 2020 | 34 | 0.180 |
Why?
|
| Tobacco, Smokeless | 1 | 2020 | 24 | 0.180 |
Why?
|
| Patient Acceptance of Health Care | 1 | 2023 | 337 | 0.180 |
Why?
|
| United States | 7 | 2023 | 4898 | 0.170 |
Why?
|
| Nicotine | 1 | 2020 | 182 | 0.160 |
Why?
|
| Hospitalization | 1 | 2023 | 665 | 0.160 |
Why?
|
| Health Services Accessibility | 1 | 2023 | 420 | 0.150 |
Why?
|
| Tobacco Products | 1 | 2020 | 125 | 0.150 |
Why?
|
| Hypertension | 1 | 2023 | 541 | 0.150 |
Why?
|
| Prenatal Exposure Delayed Effects | 1 | 2020 | 185 | 0.150 |
Why?
|
| Heart Defects, Congenital | 1 | 2023 | 590 | 0.140 |
Why?
|
| Quality of Life | 1 | 2022 | 843 | 0.130 |
Why?
|
| Female | 9 | 2023 | 26829 | 0.130 |
Why?
|
| Quality-Adjusted Life Years | 1 | 2015 | 63 | 0.130 |
Why?
|
| Logistic Models | 2 | 2015 | 901 | 0.120 |
Why?
|
| Sulfides | 1 | 2015 | 28 | 0.120 |
Why?
|
| Cyclopropanes | 1 | 2015 | 24 | 0.120 |
Why?
|
| Anti-Asthmatic Agents | 1 | 2015 | 29 | 0.120 |
Why?
|
| Adolescent | 4 | 2023 | 6459 | 0.120 |
Why?
|
| Arkansas | 4 | 2023 | 1988 | 0.120 |
Why?
|
| Humans | 13 | 2023 | 50201 | 0.120 |
Why?
|
| Patient Admission | 1 | 2014 | 74 | 0.120 |
Why?
|
| Obesity, Morbid | 1 | 2014 | 77 | 0.110 |
Why?
|
| Patient Transfer | 1 | 2014 | 94 | 0.110 |
Why?
|
| Nursing Homes | 1 | 2014 | 113 | 0.110 |
Why?
|
| Health Status | 1 | 2015 | 299 | 0.110 |
Why?
|
| Case-Control Studies | 1 | 2015 | 1145 | 0.100 |
Why?
|
| Comorbidity | 2 | 2023 | 612 | 0.090 |
Why?
|
| Cost-Benefit Analysis | 2 | 2023 | 270 | 0.080 |
Why?
|
| Adult | 4 | 2023 | 13486 | 0.060 |
Why?
|
| Male | 3 | 2023 | 25572 | 0.060 |
Why?
|
| Mortality | 1 | 2023 | 97 | 0.050 |
Why?
|
| Behavioral Risk Factor Surveillance System | 1 | 2023 | 26 | 0.050 |
Why?
|
| Medically Uninsured | 1 | 2023 | 45 | 0.050 |
Why?
|
| Child | 1 | 2015 | 6862 | 0.050 |
Why?
|
| Health Care Costs | 1 | 2023 | 168 | 0.050 |
Why?
|
| Parturition | 1 | 2022 | 49 | 0.050 |
Why?
|
| Young Adult | 2 | 2023 | 4052 | 0.050 |
Why?
|
| Minority Health | 1 | 2021 | 10 | 0.050 |
Why?
|
| Insurance | 1 | 2021 | 9 | 0.050 |
Why?
|
| Pregnancy Outcome | 1 | 2023 | 237 | 0.050 |
Why?
|
| Monitoring, Physiologic | 1 | 2022 | 127 | 0.050 |
Why?
|
| Bayes Theorem | 1 | 2021 | 105 | 0.050 |
Why?
|
| Medicaid | 1 | 2023 | 256 | 0.050 |
Why?
|
| Retrospective Studies | 2 | 2023 | 6190 | 0.050 |
Why?
|
| Term Birth | 1 | 2020 | 16 | 0.050 |
Why?
|
| Prevalence | 1 | 2023 | 960 | 0.040 |
Why?
|
| Aged | 2 | 2023 | 9505 | 0.040 |
Why?
|
| Emergency Service, Hospital | 1 | 2023 | 482 | 0.040 |
Why?
|
| Premature Birth | 1 | 2020 | 146 | 0.040 |
Why?
|
| Pandemics | 1 | 2023 | 567 | 0.040 |
Why?
|
| Smoking Cessation | 1 | 2020 | 298 | 0.040 |
Why?
|
| Cohort Studies | 1 | 2020 | 1414 | 0.030 |
Why?
|
| Aged, 80 and over | 1 | 2023 | 3158 | 0.030 |
Why?
|
| Prospective Studies | 1 | 2022 | 2396 | 0.030 |
Why?
|
| Disease | 1 | 2015 | 24 | 0.030 |
Why?
|
| Pennsylvania | 1 | 2014 | 31 | 0.030 |
Why?
|
| Infant, Newborn | 1 | 2020 | 2770 | 0.030 |
Why?
|
| Databases, Factual | 1 | 2014 | 660 | 0.020 |
Why?
|
| Cross-Sectional Studies | 1 | 2014 | 1580 | 0.020 |
Why?
|
| Middle Aged | 1 | 2021 | 12356 | 0.020 |
Why?
|