FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3013833316> ?p ?o ?g. }

• W3013833316 abstract "We investigated the associations between admissions criteria and performance in four cohorts of pre-dental MS in Oral Health Sciences (OHS) program at Boston University Schools of Medicine and Dental Medicine. Previously we have reported that OHS serves as a successful pre-dental pipeline program for students from underrepresented groups.We evaluated academic variables that further affect overall graduate GPA and grades in the first year dental school courses taken by OHS students at Boston University between 2012 and 2016 as part of the MS curriculum. Demographic data, region of residency, undergraduate grade point average, number of science and math credits, major of study, dental admissions test scores and undergraduate institution were collected. The competitiveness of the undergraduate institution was scored based on Barron's Profiles of American Colleges. OHS-GPA was assessed and individual grades in two first year dental school courses taken as part of the OHS curriculum were collected. Analysis of variance, the Chi-square test and Fisher's Exact test were utilized to assess associations between academic performance parameters, successful program completion and matriculation to dental school.Results indicate that undergraduate major, age and number of science course credits taken had no impact on MS performance in the Boston University MS in Oral Health Sciences program; however, students who took an undergraduate course in Physiology performed better than those who did not (p = 0.034). This was not the case with courses in Cell Biology and Biochemistry. Students with DAT scores over 20 academic average (p = 0.001), 18 total science average (p = 0.001) and 22 reading comprehension (p = 0.004) performed better in dental school courses taken in OHS.We report that strong test scores, attending a mid or highly rigorous undergraduate institution and completion of an undergraduate Physiology course are positive predictors. We hope these findings will guide admission's decisions and improve recruitment to, and future success of, graduate student's pursuit of professional school. Understanding alternative predictors of success may help to reduce the intrinsic bias among applicants from underrepresented groups and continue to look beyond the DATs (or MCATs) to decrease the gap between professionals from underrepresented groups and those they serve." @default.
• W3013833316 created "2020-04-03" @default.
• W3013833316 creator A5012834132 @default.
• W3013833316 creator A5014239989 @default.
• W3013833316 creator A5027705145 @default.
• W3013833316 creator A5062787324 @default.
• W3013833316 date "2020-01-15" @default.
• W3013833316 modified "2023-09-25" @default.
• W3013833316 title "Predicting professional school performance with a unique lens: are there other cognitive predictors?" @default.
• W3013833316 cites W1793462559 @default.
• W3013833316 cites W1840417099 @default.
• W3013833316 cites W1912516953 @default.
• W3013833316 cites W1991151572 @default.
• W3013833316 cites W2005595012 @default.
• W3013833316 cites W2021621602 @default.
• W3013833316 cites W2030503850 @default.
• W3013833316 cites W2117676564 @default.
• W3013833316 cites W2134947600 @default.
• W3013833316 cites W2182854821 @default.
• W3013833316 cites W2185022662 @default.
• W3013833316 cites W2185502886 @default.
• W3013833316 cites W2336600328 @default.
• W3013833316 cites W2464334258 @default.
• W3013833316 cites W2527643971 @default.
• W3013833316 cites W2572604333 @default.
• W3013833316 cites W2574440838 @default.
• W3013833316 cites W2606476741 @default.
• W3013833316 cites W2728731032 @default.
• W3013833316 cites W2794477344 @default.
• W3013833316 cites W2794866563 @default.
• W3013833316 cites W2795150827 @default.
• W3013833316 cites W2795781395 @default.
• W3013833316 cites W2802352434 @default.
• W3013833316 cites W2802433029 @default.
• W3013833316 cites W2815546520 @default.
• W3013833316 cites W2889274662 @default.
• W3013833316 cites W2893858938 @default.
• W3013833316 cites W2898660963 @default.
• W3013833316 cites W2913763637 @default.
• W3013833316 cites W2976122739 @default.
• W3013833316 doi "https://doi.org/10.1186/s12909-020-1930-2" @default.
• W3013833316 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6961370" @default.
• W3013833316 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31941519" @default.
• W3013833316 hasPublicationYear "2020" @default.
• W3013833316 type Work @default.
• W3013833316 sameAs 3013833316 @default.
• W3013833316 citedByCount "6" @default.
• W3013833316 countsByYear W30138333162020 @default.
• W3013833316 countsByYear W30138333162021 @default.
• W3013833316 countsByYear W30138333162022 @default.
• W3013833316 countsByYear W30138333162023 @default.
• W3013833316 crossrefType "journal-article" @default.
• W3013833316 hasAuthorship W3013833316A5012834132 @default.
• W3013833316 hasAuthorship W3013833316A5014239989 @default.
• W3013833316 hasAuthorship W3013833316A5027705145 @default.
• W3013833316 hasAuthorship W3013833316A5062787324 @default.
• W3013833316 hasBestOaLocation W30138333161 @default.
• W3013833316 hasConcept C151730666 @default.
• W3013833316 hasConcept C15744967 @default.
• W3013833316 hasConcept C161051502 @default.
• W3013833316 hasConcept C19417346 @default.
• W3013833316 hasConcept C199343813 @default.
• W3013833316 hasConcept C22156102 @default.
• W3013833316 hasConcept C2777267654 @default.
• W3013833316 hasConcept C2778942190 @default.
• W3013833316 hasConcept C2991720358 @default.
• W3013833316 hasConcept C2992692163 @default.
• W3013833316 hasConcept C47177190 @default.
• W3013833316 hasConcept C509550671 @default.
• W3013833316 hasConcept C71924100 @default.
• W3013833316 hasConcept C86803240 @default.
• W3013833316 hasConceptScore W3013833316C151730666 @default.
• W3013833316 hasConceptScore W3013833316C15744967 @default.
• W3013833316 hasConceptScore W3013833316C161051502 @default.
• W3013833316 hasConceptScore W3013833316C19417346 @default.
• W3013833316 hasConceptScore W3013833316C199343813 @default.
• W3013833316 hasConceptScore W3013833316C22156102 @default.
• W3013833316 hasConceptScore W3013833316C2777267654 @default.
• W3013833316 hasConceptScore W3013833316C2778942190 @default.
• W3013833316 hasConceptScore W3013833316C2991720358 @default.
• W3013833316 hasConceptScore W3013833316C2992692163 @default.
• W3013833316 hasConceptScore W3013833316C47177190 @default.
• W3013833316 hasConceptScore W3013833316C509550671 @default.
• W3013833316 hasConceptScore W3013833316C71924100 @default.
• W3013833316 hasConceptScore W3013833316C86803240 @default.
• W3013833316 hasIssue "1" @default.
• W3013833316 hasLocation W30138333161 @default.
• W3013833316 hasLocation W30138333162 @default.
• W3013833316 hasLocation W30138333163 @default.
• W3013833316 hasLocation W30138333164 @default.
• W3013833316 hasOpenAccess W3013833316 @default.
• W3013833316 hasPrimaryLocation W30138333161 @default.
• W3013833316 hasRelatedWork W2045078715 @default.
• W3013833316 hasRelatedWork W2143823227 @default.
• W3013833316 hasRelatedWork W2236373389 @default.
• W3013833316 hasRelatedWork W2243539993 @default.
• W3013833316 hasRelatedWork W2354110729 @default.
• W3013833316 hasRelatedWork W2803772275 @default.
• W3013833316 hasRelatedWork W2899084033 @default.
• W3013833316 hasRelatedWork W3013833316 @default.

• next