PLoS ONE · 2014 · 135 citations · 46 references
Life SciencesEcologyZoologyConservation ZoologyHerpetologyMammalogyAnimal EcologyHuman-wildlife InteractionsWildlife ConservationBibliometric CouplingBibliometric MappingBibliometric SynthesisBody Size DistributionsBody Size EstimationEcological TraitsSystematic Literature ReviewThreat Status Assessment
Given the budgetary restrictions on scientific research and the increasing need to better inform conservation actions, it is important to identify the patterns and causes of biases in research effort. We combine bibliometric information from a literature review of almost 16,500 peer-reviewed publications on a well-known group of 286 species, the Order Carnivora, with global datasets on species' life history and ecological traits to explore patterns in research effort. Our study explores how species' characteristics influenced the degree to which they were studied (measured as the number of publications). We identified a wide variation in intensity of research effort at both Family and Species levels, with some of the least studied being those which may need protection in future. Our findings hint at the complex role of human perspectives in setting research agendas. We found that better-studied species tended to be large-bodied and have a large geographic range whilst omnivory had a negative relationship with research effort. IUCN threat status did not exhibit a strong relationship with research effort which suggests that the conservation needs of individual species are not major drivers of research interest. This work is the first to use a combination of bibliometric analysis and biological data to quantify and interpret gaps in research knowledge across an entire Order. Our results could be combined with other resources, such as Biodiversity Action Plans, to prioritise and co-ordinate future research effort, whilst our methods can be applied across many scientific disciplines to describe knowledge gaps.
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R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
A Caution Regarding Rules of Thumb for Variance Inflation Factors
Robert M. O’Brien · Quality & Quantity · 2007 · 10.5K citations
Mammal Species of the World: A Taxonomic and Geographic Reference
Rudolf Schmid, Don E. Wilson, DeeAnn M. Reeder · Taxon · 1993 · 5.4K citations