Pheno-Ranker

Cohort summary

Beacon Friendly Format36 records

At a glance

MeasureValue
Records with phenotype entries35 / 36 (97%)
Mean descriptors per record2.3
Median descriptors per record1
Descriptor count, Q1–Q31.00–1.00
Descriptor count, P10–P901.00–2.00
Unique non-excluded IDs per record, mean (median)1.0 (1)
Distinct phenotype IDs, not excluded3

Descriptors are phenotypicFeatures entries. Raw counts include duplicates and excluded entries; unique counts do not. All records are included, even those with zero entries. Counting details

Charts scroll horizontally to keep labels readable.

Entries per record

Raw entry counts and unique non-excluded phenotype IDs, including records with zero counts.

phenotypicFeatures
Unique non-excluded phenotype IDs
diseases
measures
treatments
interventionsOrProcedures
exposures

Recorded categories

Category counts across all records, including unknown values.

Unknown for every record karyotypicSex, geographicOrigin

sex
ethnicity

Coverage and frequent annotations

Which sections are populated, and which terms occur most often?

Section coverage
Phenotypes (not excluded)
Excluded phenotypes
Diseases (not excluded)

Annotation depth and coverage

All records are included in the mean and median. Absent or null sections count as zero. Raw entries include duplicates and excluded annotations; the unique-ID row does not.

SectionRecords with entriesMeanMedianQ1 (25%)Q3 (75%)P10P90Range
phenotypicFeatures352.2811.001.001.002.000-15
diseases361.0011.001.001.001.001-1
measures3615.4714.513.0018.0013.0018.5012-22
treatments81.7800.000.000.008.000-8
interventionsOrProcedures271.8320.753.000.004.000-5
exposures80.4700.000.000.002.000-3
Unique non-excluded phenotype IDs351.0311.001.001.001.000-3
Phenotypes (not excluded): 3 distinct terms

Counted once per record per status. Percentages use all records; terms can co-occur.

Ontology IDLabelRecordsRecords (%)
NCIT:C126101Not Available3597.2%
NCIT:C2985Diabetes Mellitus12.8%
NCIT:C3117Hypertension12.8%
Excluded phenotypes: 9 distinct terms

Counted once per record per status. Percentages use all records; terms can co-occur.

Ontology IDLabelRecordsRecords (%)
NCIT:C39725Immunodeficiency822.2%
NCIT:C126101Not Available38.3%
NCIT:C28397Asthma38.3%
NCIT:C2884Rheumatoid Arthritis38.3%
NCIT:C3201Systemic Lupus Erythematosus38.3%
NCIT:C3346Psoriasis38.3%
NCIT:C3390Stroke38.3%
NCIT:C2985Diabetes Mellitus25.6%
NCIT:C3117Hypertension25.6%
Diseases (not excluded): 1 distinct terms

Counted once per record per status. Percentages use all records; terms can co-occur.

Ontology IDLabelRecordsRecords (%)
NCIT:C3138Inflammatory Bowel Disease36100.0%
Reading this report

Descriptor counts reflect the available annotations, not necessarily disease complexity or annotation quality. Descriptor distributions count all phenotypicFeatures entries, including duplicates and excluded annotations. Mean and median include records with zero entries.

Q1 and Q3 are the 25th and 75th percentiles; P10 and P90 are the 10th and 90th. Percentiles use linear interpolation at position (N − 1) × p in the sorted counts, so they can be fractional. A single-record dataset has the same value at every percentile. Unique non-excluded phenotype counts deduplicate IDs within each record, omit missing IDs and excluded entries, and include zero-count records. If an ID is recorded both excluded and non-excluded, it counts once in the non-excluded distribution.

Records may represent people or disease profiles. Bar labels show record counts; frequency axes show percentages. Frequencies describe these records, not population prevalence. "Not excluded" means excluded is false or absent. The same term can occur in both status groups if recorded that way. Label variants sharing an ID are combined; a label is chosen in lexical order. Entries without IDs are omitted only from term frequencies.