Metrics

Social Science Ahead of the (Shallow) Curve on Altmetrics Acceptance
Career
May 3, 2019

Social Science Ahead of the (Shallow) Curve on Altmetrics Acceptance

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Book Review: Scholarly Communication and Measuring Research – What Does Everyone Need to Know?
Bookshelf
April 23, 2019

Book Review: Scholarly Communication and Measuring Research – What Does Everyone Need to Know?

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How Could Google Scholar (and the Citation System) Be Improved?
Featured
March 21, 2019

How Could Google Scholar (and the Citation System) Be Improved?

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Academe Just Doesn’t Talk Enough about Research Metrics
Impact
February 25, 2019

Academe Just Doesn’t Talk Enough about Research Metrics

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Book Review: Metric Power

Book Review: Metric Power

In Metric Power, David Beer examines the intensifying role that metrics play in our everyday lives, from healthcare provision to our interactions with friends and family, within the context of the so-termed data revolution. This is a book that illustrates our growing implication in, and arguable acquiescence to, an increasingly quantified world, but, Thomas Christie Williams asks, where do we locate resistance?

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Existing Career Incentives Are Often Bad for Science

Existing Career Incentives Are Often Bad for Science

A culture of bad science can evolve as a result of institutional incentives that prioritize simple quantitative metrics as measures of success, argues Paul Smaldino. But, he adds, not all is lost as new initiatives such as open data and replication are making a positive difference.

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In Research, Engagement Is Not the Same As Impact

In Research, Engagement Is Not the Same As Impact

Sage 906 Impact

As governments seek practical metrics for determining if their research funding is money wisely spent, the quest for ‘impact’ takes on great importance. Drawing from the Australian experience, Stephen Taylor addresses several key measurement principles.

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In the Rush to Metrics, Don’t Ignore Human Intuition

In the Rush to Metrics, Don’t Ignore Human Intuition

Sociologist Eric Giannella argues the uncertainty of science makes intuition and judgement essential, and yet the effect of metrics is to reduce the role of judgment. 

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