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The New Statistics

Overview of attention for article published in Psychological Science, November 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
2 news outlets
blogs
13 blogs
policy
3 policy sources
twitter
487 X users
peer_reviews
1 peer review site
weibo
1 weibo user
facebook
14 Facebook pages
wikipedia
1 Wikipedia page
googleplus
5 Google+ users
reddit
2 Redditors
q&a
1 Q&A thread

Citations

dimensions_citation
2480 Dimensions

Readers on

mendeley
3879 Mendeley
citeulike
13 CiteULike
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Title
The New Statistics
Published in
Psychological Science, November 2013
DOI 10.1177/0956797613504966
Pubmed ID
Authors

Geoff Cumming

Abstract

We need to make substantial changes to how we conduct research. First, in response to heightened concern that our published research literature is incomplete and untrustworthy, we need new requirements to ensure research integrity. These include prespecification of studies whenever possible, avoidance of selection and other inappropriate data-analytic practices, complete reporting, and encouragement of replication. Second, in response to renewed recognition of the severe flaws of null-hypothesis significance testing (NHST), we need to shift from reliance on NHST to estimation and other preferred techniques. The new statistics refers to recommended practices, including estimation based on effect sizes, confidence intervals, and meta-analysis. The techniques are not new, but adopting them widely would be new for many researchers, as well as highly beneficial. This article explains why the new statistics are important and offers guidance for their use. It describes an eight-step new-statistics strategy for research with integrity, which starts with formulation of research questions in estimation terms, has no place for NHST, and is aimed at building a cumulative quantitative discipline.

X Demographics

X Demographics

The data shown below were collected from the profiles of 487 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3,879 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 94 2%
United Kingdom 44 1%
Germany 30 <1%
Netherlands 26 <1%
Canada 15 <1%
Italy 12 <1%
France 12 <1%
Brazil 12 <1%
Australia 9 <1%
Other 98 3%
Unknown 3527 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1015 26%
Researcher 570 15%
Student > Master 481 12%
Student > Bachelor 275 7%
Student > Doctoral Student 271 7%
Other 843 22%
Unknown 424 11%
Readers by discipline Count As %
Psychology 1775 46%
Social Sciences 253 7%
Agricultural and Biological Sciences 209 5%
Neuroscience 134 3%
Business, Management and Accounting 130 3%
Other 743 19%
Unknown 635 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 447. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 March 2024.
All research outputs
#63,510
of 25,761,363 outputs
Outputs from Psychological Science
#151
of 4,328 outputs
Outputs of similar age
#397
of 225,622 outputs
Outputs of similar age from Psychological Science
#6
of 91 outputs
Altmetric has tracked 25,761,363 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,328 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 86.2. This one has done particularly well, scoring higher than 96% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 225,622 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 91 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.