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Payton Lea

Concepts (16)

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?
Pinus ponderosa
1
2016
1
0.150
Why?
Pinus
1
2016
6
0.150
Why?
Haplotypes
1
2016
105
0.140
Why?
Genetic Variation
1
2016
253
0.130
Why?
Plastids
1
2016
5
0.040
Why?
Discriminant Analysis
1
2016
34
0.040
Why?
Microsatellite Repeats
1
2016
46
0.040
Why?
Principal Component Analysis
1
2016
71
0.040
Why?
Gene Frequency
1
2016
120
0.040
Why?
Geography
1
2016
80
0.040
Why?
Species Specificity
1
2016
206
0.040
Why?
Alleles
1
2016
277
0.030
Why?
Phylogeny
1
2016
269
0.030
Why?
Sequence Analysis, DNA
1
2016
274
0.030
Why?
Genotype
1
2016
600
0.030
Why?
United States
1
2016
5208
0.020
Why?
Lea's Networks
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