Evidence map›Paper›PMID 40664831›Full record

ArticleScientific reports2025

Overlooked sources of inspiration in biomimetic research.

Jindong Zhang, Simon Baeckens, Raoul Van Damme, Kristina Wanieck

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Jindong ZhangWorking Group Biomimetics, Faculty of Applied Informatics, Technology Campus Freyung, Deggendorf Institute of Technology, Freyung, Germany. jindong.zhang@th-deg.de.
Simon BaeckensDepartment of Biology, Laboratory of Functional Morphology, University of Antwerp, Antwerp, Belgium.
Raoul Van DammeDepartment of Biology, Laboratory of Functional Morphology, University of Antwerp, Antwerp, Belgium.
Kristina WanieckWorking Group Biomimetics, Faculty of Applied Informatics, Technology Campus Freyung, Deggendorf Institute of Technology, Freyung, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biomimetics draws inspiration from biological organisms, yet only a small fraction of Earth's biodiversity has been explored for innovation. This study examines the biological models used in biomimetic research. Using GPT-4o, we analyzed 74,359 publications and identified 31,776 biological models, revealing distinct taxonomic distribution patterns. Our findings highlight a reliance on a narrow set of animal taxa; fewer than 23% of identified models were resolved at the species level-corresponding to 1,604 species; and broad taxonomic classifications (e.g., phylum, class) were more frequently cited. Despite the rapid growth of biomimetics, the exploration of new model taxa falters. Researchers tend to focus on one model per study, potentially limiting the field's capacity to leverage evolutionary insights. To promote diversity and innovation in biomimetics, we advocate for stronger collaboration with biologists to integrate underutilized yet well-researched taxa, specify biological inspirations at the species level to enhance evolutionary insights, and-where appropriate-incorporate multiple models, enabling the use of comparative methods.

Indexed as

BiomimeticsModels, BiologicalAnimalsBiodiversityBiological EvolutionAIBiodiversityBioinspirationBiomimicryEvolutionary biologyTaxonomy

Identifiers

PMID40664831
PMCPMC12263887

What OpenQuestion holds

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Registered trials

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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.