Table 5. Top 11 largest clusters of co-cited references (size sorting).
Cluster ID | Size | Silhouette | Mean (year)* | Label (LLR)†,▴ | Label (TF*IDF)†† | Label (MI)††† |
---|---|---|---|---|---|---|
#0 | 111 | 0.792 | 2011 | Neonatal seizures | Antiepileptic drugs | Anorexia |
#1 | 83 | 0.770 | 2001 | Fetal malformations | Psychomotor development | Teratogenic |
#2 | 60 | 0.974 | 2010 | Neonatal seizures | Neonatal seizures | Epilepsy monitoring |
#3 | 49 | 0.994 | 1998 | Dentate gyrus | Preterm infants | Androgen |
#4 | 48 | 0.873 | 2005 | Pharmacokinetics | Malformations | Immunoassay |
#5 | 46 | 0.936 | 1996 | Women | Teratogenesis | Cohort studies |
#6 | 42 | 0.778 | 1999 | Pregnancy outcomes | Educational need | Substitution study |
#7 | 29 | 0.948 | 2006 | Histone deacetylase | Valproic acid | Glutamate |
#8 | 23 | 0.997 | 1998 | Valpromide | Teratogenicity | Epilepsy monitoring |
#10 | 16 | 0.994 | 1997 | Teratogenesis | Questionnaire | Epilepsy monitoring |
#11 | 16 | 0.955 | 1996 | Fetal valproate syndrome | Neuro development | Epilepsy |
Notes:
Mean (year) represents the average publication time of the literature contained in this cluster.
LLR (Log-likelihood ratio) is one of the clustering label word extraction algorithm.
TF-IDF (Term frequency–inverse document frequency) is a commonly used weighting techniques for information retrieval and data mining, this algorithm can generate cluster labels based on the title of the citing document.
MI (Mutual information) is also one of the clustering label word extraction algorithm.
Clusters are referred in terms of the labels selected by log-likelihood ratio test method (LLR) in this study.