PML scientists most cited in the Journal of Experimental Marine Biology and Ecology

PML scientists most cited in the Journal of Experimental Marine Biology and Ecology

 

A paper by Dr Somerfield, in collaboration with Clarke, K.R. and Gorley, R.N., has been listed as the most cited article in the Journal of Experimental Marine Biology and Ecology with the paper 'Testing of null hypotheses in exploratory community analyses: similarity profiles and biota-environment linkage'.

The paper is one of a series of papers describing new statistical analysis methods. Citation is the measure of the quality of articles published in scientific journals – the accepted method of sharing research results in the wider scientific community; the better the science the more times it is quoted (or cited). The list comprises the most cited articles published since 2008, extracted from Scopus.

The methods described in Dr Somerfield’s paper are designed to address the research needs of ecologists, but are much more broadly applicable and widely regarded as statistically robust. They are incorporated into the Primer package. This particular paper describes a statistical test to assess whether there is enough structure in data to allow interpretation, a method to link biological and environmental analyses together to explore how environmental drivers influence biological communities, and a test to decide whether patterns in sets of environmental variables are significantly related to patterns derived from species sampling.

Following Dr Somerfield, another PML scientist Dr Steve Widdicombe features at number two in the list for the collaborative paper 'Predicting the impact of ocean acidification on benthic biodiversity: What can animal physiology tell us?'. This paper explains the challenge currently facing scientists in predicting the long-term implications of ocean acidification for the diversity of marine organisms, reviewing the extent to which the few existing data sets and understanding gained from previous physiological studies, can be used to make predictions for marine biodiversity.

The list of most cited articles can be found here: Most Cited Journal of Experimental Marine Biology and Ecology Articles.
 

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