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Guedes, J. J. M.

Publications and source records attributed to Guedes, J. J. M..

2 recordsLinked to original sources

Correlates of time to first citation in ecology and taxonomy

Several metrics exists to evaluate the impact of publications and researchers, but most are based on citation counts, which usually fail to capture the temporal aspect of citations. Time to first citation represents a useful metric for research evaluation, and informs the speed at which scientific knowledge is disseminated through the scientific community. Understanding which factors affect such metrics is important as they impact resource allocation and career progression, besides influencing knowledge promotion across disciplines. Many ecological works rely on species identity, which is the coin of taxonomy. Despite its importance, taxonomy is a discipline in crisis lacking staff, funds and prestige, which ultimately may affect the evaluation and dissemination of taxonomic works. We used a time-to-event analysis to investigate whether taxonomic, socioeconomic, and scientometric factors influence first citation speed across hundreds of ecological and taxonomic articles. Time to first citation differed greatly between these areas. Ecological studies were first cited much faster than taxonomic studies. Multitaxa articles received first citations earlier than studies focused on single major taxonomic groups. Article length and h-index among authors were negatively correlated with time to first citation, while the number of authors, number of countries, and Gross Domestic Product was unimportant. Knowledge dissemination is faster for lengthy, multitaxa, and ecological articles relative to their respective counterparts, as well as for articles with highly prolific authors. We stress that using several unrelated metrics is desirable when evaluating research from different-and even related-disciplines, particularly in the context of professional progression and grant allocation.

scientific communication and education↗

A phylogeny-informed characterization of global tetrapod traits addresses data gaps and biases

Tetrapods (amphibian, reptiles, birds and mammals) are model systems for global biodiversity science, but continuing data gaps, limited data standardisation, and ongoing flux in taxonomic nomenclature constrain integrative research on this group and potentially cause biased inference. We combined and harmonised taxonomic, spatial, phylogenetic, and attribute data with phylogeny-based multiple imputation to provide a comprehensive data resource (TetrapodTraits 1.0.0) that includes values, predictions, and sources for body size, activity time, micro- and macrohabitat, ecosystem, threat status, biogeography, insularity, environmental preferences and human influence, for all 33,281 tetrapod species covered in recent fully sampled phylogenies. We assess gaps and biases across taxa and space, finding that shared data missing in attribute values increased with taxon-level completeness and richness across clades. Prediction of missing attribute values using multiple imputation revealed substantial changes in estimated macroecological patterns. These results highlight biases incurred by non-random missingness and strategies to best address them. While there is an obvious need for further data collection and updates, our phylogeny--informed database of tetrapod traits can support a more comprehensive representation of tetrapod species and their attributes in ecology, evolution, and conservation research.

ecology↗