DeepSnap-Deep Learning Approach Predicts Progesterone Receptor Antagonist Activity With High Performance

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, January 2020

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 (79th percentile)
High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

blogs: 1 blog

twitter: 3 X users

Citations

dimensions_citation: 19 Dimensions

Readers on

mendeley: 30 Mendeley

Summary Blogs X Dimensions citations

So far, Altmetric has seen 3 X posts from 3 X users, with an upper bound of 6,189 followers.

if you have a hammer and have a problem you convert problem to a nail, and of course use hammer. But converting 3D molecule into image is a bit too much https://t.co/464HYaV0MT

05 Feb 2020

Reply Repost Favourite

RT @FrontBioeng: New Research: DeepSnap-Deep Learning Approach Predicts Progesterone Receptor Antagonist Activity With High Performance: Th…

22 Jan 2020

Reply Repost Favourite

New Research: DeepSnap-Deep Learning Approach Predicts Progesterone Receptor Antagonist Activity With High Performance: The progesterone receptor (PR) is important therapeutic target for many malignancies and endocrine disorders… https://t.co/mOzA6IYkii #b

22 Jan 2020

Reply Repost Favourite

This page shows the most recent X posts that mention this research output.

Click here to find out how to access more activity.