Simplex Volume Maximization (SiVM): A matrix factorization algorithm with non-negative constrains and low computing demands for the interpretation of full spectral X-ray fluorescence imaging data

Overview of attention for article published in Microchemical Journal, May 2017

Altmetric Badge

About this Attention Score

Average Attention Score compared to outputs of the same age
Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter: 3 X users

Citations

dimensions_citation: 15 Dimensions

Readers on

mendeley: 23 Mendeley

Summary X Dimensions citations

So far, Altmetric has seen 3 X posts from 3 X users, with an upper bound of 7,127 followers.

RT @ElsevierChemist: Simplex Volume Maximization (SiVM): An algorithm for interpreting X-ray fluorescence imaging data #XRF https://t.co/Rb…

Reply Repost Favourite

RT @ElsevierChemist: Simplex Volume Maximization (SiVM): An algorithm for interpreting X-ray fluorescence imaging data #XRF https://t.co/Rb…

Reply Repost Favourite

Simplex Volume Maximization (SiVM): An algorithm for interpreting X-ray fluorescence imaging data #XRF https://t.co/Rbr2vvx56t https://t.co/9APRt0Tm8Q

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.