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Comparison of manual and semi-automatic underwater imagery analyses for monitoring of benthic hard-bottom organisms at offshore renewable energy installations

Overview of attention for article published in Hydrobiologia, October 2014
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Title
Comparison of manual and semi-automatic underwater imagery analyses for monitoring of benthic hard-bottom organisms at offshore renewable energy installations
Published in
Hydrobiologia, October 2014
DOI 10.1007/s10750-014-2072-5
Authors

Aleksej Šaškov, Thomas G. Dahlgren, Yuri Rzhanov, Marie-Lise Schläppy

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Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Netherlands 1 2%
Belgium 1 2%
Brazil 1 2%
Unknown 46 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 26%
Student > Master 9 18%
Student > Ph. D. Student 6 12%
Student > Bachelor 3 6%
Professor > Associate Professor 2 4%
Other 3 6%
Unknown 14 28%
Readers by discipline Count As %
Environmental Science 12 24%
Agricultural and Biological Sciences 12 24%
Computer Science 4 8%
Engineering 3 6%
Earth and Planetary Sciences 2 4%
Other 1 2%
Unknown 16 32%