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Selection: Brembs:B [4 articles] 

Publications by author Brembs:B.
 

Redefine statistical significance

  
Nature Human Behaviour, Vol. 2, No. 1. (1 September 2017), pp. 6-10, https://doi.org/10.1038/s41562-017-0189-z

Abstract

We propose to change the default P-value threshold for statistical significance for claims of new discoveries from 0.05 to 0.005 ...

 

What ranking journals has in common with astrology

  
Home About Login Register Search Current Archives Announcements Home > Vol 1, No 1 (2013) Roars Transactions, a Journal on Research Policy and Evaluation, Vol. 1, No. 1. (2013), https://doi.org/10.13130/2282-5398/3378

Abstract

[excerpt] Introduction. As scientists, we all send our best work to Science or Nature – or at least we dream of one day making a discovery we deem worthy of sending there. So obvious does this hierarchy in our journal landscape appear to our intuition, that when erroneous or fraudulent work is published in ‘high- ranking’ journals, we immediately wonder how this could have happened. Isn’t work published there the best there is? Vetted by professional editors before being sent out to the most critical ...

 

Deep impact: unintended consequences of journal rank

  
Frontiers in Human Neuroscience, Vol. 7 (2013), https://doi.org/10.3389/fnhum.2013.00291

Abstract

Most researchers acknowledge an intrinsic hierarchy in the scholarly journals (“journal rank”) that they submit their work to, and adjust not only their submission but also their reading strategies accordingly. On the other hand, much has been written about the negative effects of institutionalizing journal rank as an impact measure. So far, contributions to the debate concerning the limitations of journal rank as a scientific impact assessment tool have either lacked data, or relied on only a few studies. In this ...

 

Deep Impact: Unintended consequences of journal rank

  
Frontiers in Human Neuroscience, Vol. 7 (10 June 2013), 291, https://doi.org/10.3389/fnhum.2013.00291

Abstract

Much has been said about the increasing bureaucracy in science, stifling innovation, hampering the creativity of researchers and incentivizing misconduct, even outright fraud. Many anecdotes have been recounted, observations described and conclusions drawn about the negative impact of impact assessment on scientists and science. However, few of these accounts have drawn their conclusions from data, and those that have typically relied on a few studies. In this review, we present the most recent and pertinent data on the consequences that our ...

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