Predicting citation count of Bioinformatics papers within four years of publication

Predicting citation count of Bioinformatics papers

within four years of publication

EXPLOITING BEST MODELS

We perform an analysis to discover if there are some tokens that influence to citation counts of an article within the areas and years studied. This analysis shows the results obtained after applying a new case to Logistic regression and naive Bayes paradigms. The models used to predict citations count are the following:

Predicting citation count for several abstracts with naiveBayes and logistic regression.

Section 6-Phylogenetics --- Third-year

HOME DATA RESULTS EXPLOITING BEST MODELS

2. Naive Bayes

1. Logistic regression

Best models

Best model

Section 2 - Third-year (100%) : Features - Coefficients - Odds Ratios

Section 6 - Third-year (100%) : Features - Coefficients - Odds Ratios

Section 6 - First-year (100%)

Probability of each feature given the class value P(word | citation count)

Probability of the class given a feature P(citation count | word)

Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid. 28660 Madrid, Spain

		Section 1	Section 2	Section 3	Section 4	Section 5	Section 6	Section 7	Section 8	Section 9
First year	NB	96.6 5.42	91.9 12.1	94.0 4.42	95.6 8.45	93.2 4.73	100 0.00	96.3 3.58	97.3 3.42	96.9 3.32
First year	LR	98.9 3.53	86.5 17.7	90.8 2.55	95.7 8.46	94.2 5.06	92.9 14.0	94.7 4.36	92.0 4.26	91.9 4.81
------------	---------	--------------------	---------------------	----------------------	----------------------	----------------------	----------------------	----------------------	----------------------	----------------------
Second year	NB	82.9 12.3	89.2 21.9	86.2 6.23	84.8 14.1	86.4 6.59	89.3 16.1	85.8 6.65	90.7 7.20	87.0 8.52
Second year	LR	96.6 5.43	94.6 12.4	88.7 5.42	95.7 9.62	95.1 6.93	92.9 14.0	95.3 5.87	94.7 7.60	93.2 6.17
------------	---------	--------------------	---------------------	----------------------	----------------------	----------------------	----------------------	----------------------	----------------------	----------------------
Third year	NB	90.0 14.1	80.0 21.9	85.4 6.81	88.9 22.5	95.1 6.34	85.0 24.1	86.5 7.14	89.3 11.0	84.0 11.7
Third year	LR	94.0 9.78	100 0.00	89.6 7.74	92.6 14.0	93.9 6.66	100 0.00	95.7 5.09	93.2 6.70	93.0 8.20
------------	---------	--------------------	---------------------	----------------------	----------------------	----------------------	----------------------	----------------------	----------------------	----------------------
Fourth year	NB	91.7 21.1	80.0 24.1	86.0 4.53	90.5 18.0	90.6 9.93	81.8 42.2	93.9 10.6	87.0 12.0	90.6 13.9
Fourth year	LR	91.7 18.0	66.7 45.9	93.5 10.8	85.7 24.9	88.7 15.7	63.3 51.6	95.1 12.1	81.5 19.8	90.6 19.4