Subtyping of common complex diseases and disorders by integrating heterogeneous data. Identifying clusters among women with lower urinary tract symptoms in the LURN study

Overview of attention for article published in PLOS ONE, June 2022

Altmetric Badge

About this Attention Score

In the top 25% of all research outputs scored by Altmetric
Good Attention Score compared to outputs of the same age (78th percentile)
Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

twitter: 7 X users

f1000: 1 research highlight platform

Readers on

mendeley: 12 Mendeley

So far, Altmetric has seen 9 X posts from 7 X users, with an upper bound of 5,203 followers.

clustering methodology https://t.co/uHC1z9kkmt

Take a look at this paper, including CAIRIBU-affiliated authors @qclemens1 and @CindyAmundsen, that investigates LUTS in women! #MedTwitter #urology #Health #WomensHealth Link: https://t.co/bFVejExdPB https://t.co/TR4mPHf2Eo

Henry Lai, MD, and the @LURN_Research team describes their method & results for refining female patients with lower urinary tract symptom-based clusters by integrating multiple data domains: https://t.co/pIQVKwLuYg https://t.co/7sejb9JBuD

This page shows the most recent X posts that mention this research output. Click here to find out how to access more activity, including 5 additional X posts.