Automated classification of wood transverse cross-section micro-imagery from 77 commercial Central-African timber species

Overview of attention for article published in Annals of Forest Science , April 2017

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In the top 25% of all research outputs scored by Altmetric
Among the highest-scoring outputs from this source (#44 of 942)
High Attention Score compared to outputs of the same age (87th percentile)
High Attention Score compared to outputs of the same age and source (86th percentile)

So far, Altmetric has seen 3 X posts from 3 X users, with an upper bound of 2,675 followers.

RT @DreyerErwin: #AnnForSci: Automated classification of wood cross-section micro-imagery from Central-African timber species https://t.co/…

RT @DreyerErwin: #AnnForSci: Automated classification of wood cross-section micro-imagery from Central-African timber species https://t.co/…

#AnnForSci: Automated classification of wood cross-section micro-imagery from Central-African timber species https://t.co/7BIWORSKQ2