
The molecular techniques for producing the type and quantity of data required for conservation studies are now available, and the number of statistical methods applicable to such genetic data is constantly growing. We propose two clear objectives critical to ensconcing conservation genetics as a mature and indispensable discipline: the regular and correct application of the more sophisticated analytical tools to real data sets (which will require even closer collaboration between theoreticians and field biologists) and the efficient use of these results to define conservation strategies and influence policy.
Publishing, Conservation of Natural Resources, Genetics, Population, Genome, Time Factors, Genetic Variation, Algorithms
Publishing, Conservation of Natural Resources, Genetics, Population, Genome, Time Factors, Genetic Variation, Algorithms
| citations 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). | 37 | |
| 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 10% |
