PT  - JOURNAL ARTICLE
AU  - Jhonny J. M. Guedes
AU  - Isabella Melo
AU  - Igor Bione
AU  - Matheus Nunes
TI  - Correlates of time to first citation in ecology and taxonomy
AID  - 10.1101/2023.03.16.532892
DP  - 2023 Jan 01
TA  - bioRxiv
PG  - 2023.03.16.532892
4099  - http://biorxiv.org/content/early/2023/03/18/2023.03.16.532892.short
4100  - http://biorxiv.org/content/early/2023/03/18/2023.03.16.532892.full
AB  - 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.Competing Interest StatementThe authors have declared no competing interest.