ArticleEcology and evolution2017
Evolutionary divergence in life history traits among populations of the Lake Malawi cichlid fish
Article in Ecology and evolution, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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
7 citing papers in PubMed, 11 citations in OpenAlex.
- A whole-body micro-CT scan library that captures the skeletal diversity of Lake Malawi cichlid fishes.Scientific data · 2024Article
- Nuclear environmental DNA resolves fine-scale population genetic structure in an aquatic habitat.iScience · 2024Article
- Genome editing in East African cichlids and tilapias: state-of-the-art and future directions.Open biology · 2023Review
- East African cichlid fishes.EvoDevo · 2023Review
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- Evolutionary divergence in life history traits among populations of the Lake Malawi cichlid fishEcology and evolution · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
During the early stages of adaptive radiation, populations diverge in life history traits such as egg size and growth rates, in addition to eco-morphological and behavioral characteristics. However, there are few studies of life history divergence within ongoing adaptive radiations. Here, we studied
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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.