OBJECTIVES: To identify factors associated with citation of scientific articles, and validate the accuracy of the funding field in the Web of Science (WoS). METHODS: We analyzed 3,306 articles indexed in the WoS related to Nutrition and Dietetics, published between 2009 and 2011, distributed according to their category of citation (never or rarely cited, moderately cited, highly cited). We tested independent variables related to the article, research, journal, and author. In order to identify factors associated with citations, we used multinomial logistic regression. The odds ratio (OR) values and their 95% confidence intervals were calculated for each independent variable (simple regression), and the values adjusted in the final model (multiple regression). The validation of the database was assessed by estimating sensitivity and specificity. The significance level adopted was 5%. RESULTS: Of the 19 factors tested, 13 remained independently associated with citations. The attributes associated with a greater chance of the article being moderately or highly cited were as follows: type of the title, abstract size, number of references, article length, publication type, funding statement, quartile of the journal, number of WoS categories to which the journal belongs, number of authors, authors' engagement, and number of countries in collaboration. Addressing a hot topic, or being open access, was associated with less chance of the article receiving citations. CONCLUSIONS: We identified attributes of the article, the research, the journal, and the author that affect the chances of a scientific article being cited.Among the associated factors, five are attributes related to the article, and six are modifiable, which can be worked on to increase the chances of receiving more citations. The WoS metadata on funding is reliable for bibliometric analysis. The language of publication and the location where the funding is reported in the article are likely to influence funding information reliability.