This "CitesCyVerse" site was built and based off of work done by SCKE: The Science Citation Knowledge Extractor. It is an open source tool that helps biomedical researchers understand how their work is being used by others, by analyzing the content in papers that cite them. This tool uses natural language processing and machine learning to extract the prominent themes and concepts discussed in the citing documents. By seeing what kinds of topics are discussed by citing articles, researchers can better understand how their work influences their peers and various disciplines in science. CitesCyVerse only has certain features of SCKE, so we recommend that you also checkout SCKE!
See where the people cite you are being published
View the top 300 words in papers citing CyVerse or generate new clouds from words! The wordcloud will generate a cloud with other similar words mentioned in the citing papers.
Example wordcloud for the word "Python" generates a cloud containing other similar words from the 750+ papers citing CyVerse.
Explore popular topics for papers citing CyVerse. Sort or group by year to see how topics change over time.
Just for fun, see what citing texts are the most and least similar to "On the Origin of Species" by Charles Darwin.
