
New theoretical and conceptual frameworks are required for evolutionary biology to capitalize on the wealth of data now becoming available from the study of genomes, phenotypes, and organisms - including humans - in their natural environments.
data analysis, drug research, phylogeny, medical research, computer program, breeding method, Biology (General), humans, transgenic plant, Phylogeny, biodiversity, robotics, article, phenotypic variation, Biodiversity, Biological Evolution, symbiosis, environmental stress, climate change, technology, 570, QH301-705.5, Essay, DNA sequence, information processing, 576, Evolution, Molecular, herbicide resistance, evolution, plant breeding, Humans, human, molecular, criminal justice, Biology, environmental protection, nonhuman, species diversity, access to information, evolutionary developmental biology, Molecular, Genetic Variation, DNA, biological evolution, genetic variation, evolutionary adaptation, RNA
data analysis, drug research, phylogeny, medical research, computer program, breeding method, Biology (General), humans, transgenic plant, Phylogeny, biodiversity, robotics, article, phenotypic variation, Biodiversity, Biological Evolution, symbiosis, environmental stress, climate change, technology, 570, QH301-705.5, Essay, DNA sequence, information processing, 576, Evolution, Molecular, herbicide resistance, evolution, plant breeding, Humans, human, molecular, criminal justice, Biology, environmental protection, nonhuman, species diversity, access to information, evolutionary developmental biology, Molecular, Genetic Variation, DNA, biological evolution, genetic variation, evolutionary adaptation, RNA
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 123 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
