Score breakdown

Very Deep Convolutional Networks for Large-Scale Image Recognition

paper-0067 · paper · 2015

Karen Simonyan, Andrew Zisserman

VGG; depth as the design principle.

Academic, score -0.0050

MetricStatusValueNorm.WeightContributionSourceConfidenceProvenance
citation_countpresent75541.00.3400360.50.170018OpenAlexmediumlink
library_holdingsmissingrecorded as missing, penalized by rule, never imputed−0.1recorded as missing; penalized by rule, never imputed
readership_persistencepresent15.01.00.050.05OpenAlexlowlink
syllabus_adoptionsmissingrecorded as missing, penalized by rule, never imputed−0.125recorded as missing; penalized by rule, never imputed

Broad Influence, score 0.2680

MetricStatusValueNorm.WeightContributionSourceConfidenceProvenance
citation_countpresent75541.00.3400360.20.068007OpenAlexmediumlink
library_holdingsmissingrecorded as missing, penalized by rule, never imputed−0.125recorded as missing; penalized by rule, never imputed
readership_persistencepresent15.01.00.40.4OpenAlexlowlink
syllabus_adoptionsmissingrecorded as missing, penalized by rule, never imputed−0.075recorded as missing; penalized by rule, never imputed

Governance Practitioner, score -0.1400

MetricStatusValueNorm.WeightContributionSourceConfidenceProvenance
citation_countpresent75541.00.3400360.250.085009OpenAlexmediumlink
library_holdingsmissingrecorded as missing, penalized by rule, never imputed−0.15recorded as missing; penalized by rule, never imputed
readership_persistencepresent15.01.00.10.1OpenAlexlowlink
syllabus_adoptionsmissingrecorded as missing, penalized by rule, never imputed−0.175recorded as missing; penalized by rule, never imputed

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