Sentence examples for claims of impact from inspiring English sources

What many struggle with, she says, is supplying evidence for the claims of impact they make.

The programme's advocates defend the claims of impact by saying that its methods are peer-reviewed.

This provides commissioners with a vital tool for understanding not just the claims of impact made by different programmes and models, but the likelihood that those claims are robust, allowing money to be directed towards those programmes which we can be most confident will achieve real impact for their beneficiaries.

Because of the well-known limitations of bibliometric data, claims of impact have been extensively debated.

Currently, there is a dearth of quality empirical evidence to support general claims of the impact of gamification on student' learning and motivation.

Based upon Republican claims of the impact of rhetoric, uncertainty and regulation, one would think that US employment in the oil and gas industry would be plummeting or, at least, not growing.

The goal was not to conduct an exhaustive review of the literature, or to analyse the causal claims of different impact assessment models, but only to identify and map out the scope and coverage of potential areas of health research impact across a range of models, frameworks and criteria.

Over 900 of these samples were collected in accordance with Pennsylvania DEP regulations (Oil and Gas Act 13), which stipulates that an operator must conduct a "predrill or prealteration" water survey prior to the drilling of each gas well in order to maintain the right to contest any subsequent claims of groundwater impact.

This PNAS paper, published 20 July online before print, is the third from the same group claiming evidence of impact nanodiamonds.

Agile release engineering (ARE) practices are designed to deliver software faster and cheaper to end users; hence, claims of such impacts should be validated by rigorous and relevant empirical studies.

Professional societies and advisory bodies consistently recommend against multiplying small doses by large populations to predict excess radiation-induced cancers, in large part because of the potential for sensational claims of health impacts which do not adequately take the associated uncertainties into account.