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Machine learning-based CT radiomics approach for predicting WHO/ISUP nuclear grade of clear cell renal cell carcinoma: an exploratory and comparative study

Access & Citations

Citation counts are provided from Web of Science and CrossRef. The counts may vary by service, and are reliant on the availability of their data. Counts will update daily once available.

Online attention

Altmetric score 2
  • 7 tweeters
  • 16 Mendeley

This article is in the 50th percentile (ranked 246,068th) of the 510,794 tracked articles of a similar age in all journals and the 44th percentile (ranked 24th) of the 43 tracked articles of a similar age in Insights into Imaging

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Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.