A Machine Learning Model to Predict Citation Counts of Scientific Papers in Otology Field

Table 1

Some of the title -grams with positive weight.

Feature	Weight
Preprocessed TI.[ganglion]	915.36
Preprocessed TI.[speak_language]	188.11
Preprocessed TI.[chronic]	180.89
Preprocessed TI.[ear]	175.04
Preprocessed TI.[implantation]	141.14
Preprocessed TI.[acoustic_stimulation]	138.86
Preprocessed TI.[implication_cochlear]	110.82
Preprocessed TI.[perception_cochlear]	94.83
Preprocessed TI.[adult_use]	86.15
Preprocessed TI.[affect]	78.60
Preprocessed TI.[auditory_nerve]	73.73
Preprocessed TI.[development]	72.84
Preprocessed TI.[language_development]	70.51
Preprocessed TI.[use_cochlear]	66.22
Preprocessed TI.[deafness]	55.75
Preprocessed TI.[skill]	53.03
Preprocessed TI.[electrical]	47.46
Preprocessed TI.[depth]	45.88
Preprocessed TI.[speak]	42.75