ArticleNature plants2021
Plant scientists' research attention is skewed towards colourful, conspicuous and broadly distributed flowers.
Article in Nature plants, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Towards evidence-based conservation of subterranean ecosystems.Biological reviews of the Cambridge Philosophical Society · 2022Pooled it
- The link between colorfulness and extinction risk across the world's passerine birds.Conservation biology : the journal of the Society for Conservation Biology · 2026Article
- Drivers of Taxonomic Bias in Ecology and Evolution: Insights From Ethologists and Behavioural Ecologists.Ecology and evolution · 2026Article
- Leveraging local species data, a global database, and an occupancy model to explore bee-plant interactions.Ecological applications : a publication of the Ecological Society of America · 2026Article
- Article
- Which turtle should I study? Uneven distribution of research effort across Testudines species.PloS one · 2026Article
- Putative 'Dispersal Adaptations' Do Not Explain the Colonisation of a Volcanic Island by Vascular Plants, but Birds Can.Ecology letters · 2025Article
- Seven ways to prevent biomism.Ambio · 2025Article
- Six-decade research bias towards fancy and familiar bird species.Proceedings. Biological sciences · 2025Article
- How new plant species have been discovered in China: collection gaps and preferences over the past century.Frontiers in plant science · 2025Article
- MTMixG-Net: mixture of Transformer and Mamba network with a dual-path gating mechanism for plant gene expression prediction.Frontiers in plant science · 2025Article
- Colour pattern studies: the SE (せ) method, a shape-centred approach to explore biodiversity and avoid aesthetic biases.Quantitative plant biology · 2025Review
- Pretty privilege.Nature plants · 2024Article
- Article
- What drives our aesthetic attraction to birds?npj biodiversity · 2023Article
- Biases in parasite biodiversity research: why some helminth species attract more research than others.International journal for parasitology. Parasites and wildlife · 2023Article
- Enhancing Attention and Interest in Plants to Mitigate Plant Awareness Disparity.Plants (Basel, Switzerland) · 2023Article
- The iratebirds Citizen Science Project: a Dataset on Birds' Visual Aesthetic Attractiveness to Humans.Scientific data · 2023Article
- A quixotic view of spatial bias in modelling the distribution of species and their diversity.npj biodiversity · 2023Review
- A critical analysis of plant science literature reveals ongoing inequities.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Scientists' research interests are often skewed toward charismatic organisms, but quantifying research biases is challenging. By combining bibliometric data with trait-based approaches and using a well-studied alpine flora as a case study, we demonstrate that morphological and colour traits, as well as range size, have significantly more impact on species choice for wild flowering plants than traits related to ecology and rarity. These biases should be taken into account to inform more objective plant conservation efforts.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.