Recognizing words that are key to a document is important for ranking relevant scientific documents. Traditionally, important words in a document are either nominated subjectively by authors and indexers or selected objectively by some statistical measures. As an alternative, we propose to use documents words popularity in user queries to identify click-words, a set of prominent words from the users perspective. Although they often overlap, click-words differ significantly from other document keywords.