Jessica Tam
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View article: Harnessing meta-analyses’ insights in ecology and evolution research
Harnessing meta-analyses’ insights in ecology and evolution research Open
Meta-analyses are powerful tools to synthesize the literature in several fields of study, including ecology and evolution. However, it remains uncertain whether ecologists and evolutionary biologists fully comprehend meta-analyses’ finding…
View article: Title, abstract and keywords: a practical guide to maximize the visibility and impact of academic papers
Title, abstract and keywords: a practical guide to maximize the visibility and impact of academic papers Open
In a growing digital landscape, enhancing the discoverability and resonance of scientific articles is essential. Here, we offer 10 recommendations to amplify the discoverability of studies in search engines and databases. Particularly, we …
View article: Keywords to success: a practical guide to maximise the visibility and impact of academic papers
Keywords to success: a practical guide to maximise the visibility and impact of academic papers Open
In a growing digital landscape, enhancing the discoverability and resonance of scientific articles is essential. Here, we offer ten recommendations to amplify the discoverability of studies in scientific databases. Particularly, we argue t…
View article: Rapid literature mapping on the recent use of machine learning for wildlife imagery
Rapid literature mapping on the recent use of machine learning for wildlife imagery Open
Machine (especially deep) learning algorithms are changing the way wildlife imagery is processed. They dramatically speed up the time to detect, count, and classify animals and their behaviours. Yet, we currently have very few systematic l…
View article: BPGA: an interactive Shiny application for basic population genetic analysis of genotype data
BPGA: an interactive Shiny application for basic population genetic analysis of genotype data Open
Background: Population structure and ancestry inference are routine in human genetics, yet remain inconvenient for non experts because canonical tools (PLINK, GCTA, ADMIXTURE) require command line expertise and careful data management. Res…
View article: Quantifying research interests in 7,521 mammalian species with h-index: a case study (model output)
Quantifying research interests in 7,521 mammalian species with h-index: a case study (model output) Open
Model results for Quantifying research interests in 7,521 mammalian species with h-index: a case study
View article: Quantifying research interests in 7,521 mammalian species with h-index: a case study (model output)
Quantifying research interests in 7,521 mammalian species with h-index: a case study (model output) Open
Model results for Quantifying research interests in 7,521 mammalian species with h-index: a case study
View article: Quantifying research interests in 7,521 mammalian species with <i>h</i>-index: a case study
Quantifying research interests in 7,521 mammalian species with <i>h</i>-index: a case study Open
Background Taxonomic bias is a known issue within the field of biology, causing scientific knowledge to be unevenly distributed across species. However, a systematic quantification of the research interest that the scientific community has…
View article: Quantifying research interests in 7,521 mammalian species with h-index: a case study (scopus output)
Quantifying research interests in 7,521 mammalian species with h-index: a case study (scopus output) Open
Dataset of bibliometric data collected from Scopus for the manuscript 'Quantifying research interests in 7,521 mammalian species with h-index: a case study'.
View article: Quantifying research interests in 7,521 mammalian species with h-index: a case study (scopus output)
Quantifying research interests in 7,521 mammalian species with h-index: a case study (scopus output) Open
Dataset of bibliometric data collected from Scopus for the manuscript 'Quantifying research interests in 7,521 mammalian species with h-index: a case study'.