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On the accuracy of statistical procedures in Microsoft Excel 2010

Overview of attention for article published in Computational Statistics, April 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#2 of 225)
  • High Attention Score compared to outputs of the same age (92nd percentile)

Mentioned by

twitter
31 X users

Citations

dimensions_citation
61 Dimensions

Readers on

mendeley
143 Mendeley
Title
On the accuracy of statistical procedures in Microsoft Excel 2010
Published in
Computational Statistics, April 2014
DOI 10.1007/s00180-014-0482-5
Authors

Guy Mélard

X Demographics

X Demographics

The data shown below were collected from the profiles of 31 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 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 4 3%
United States 4 3%
United Kingdom 2 1%
Portugal 1 <1%
Switzerland 1 <1%
Japan 1 <1%
Canada 1 <1%
Unknown 129 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 29 20%
Student > Ph. D. Student 17 12%
Student > Master 14 10%
Student > Bachelor 13 9%
Professor 10 7%
Other 41 29%
Unknown 19 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 15%
Engineering 14 10%
Environmental Science 13 9%
Economics, Econometrics and Finance 9 6%
Computer Science 8 6%
Other 52 36%
Unknown 25 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 22 November 2022.
All research outputs
#1,853,832
of 25,653,515 outputs
Outputs from Computational Statistics
#2
of 225 outputs
Outputs of similar age
#18,216
of 241,985 outputs
Outputs of similar age from Computational Statistics
#1
of 4 outputs
Altmetric has tracked 25,653,515 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 225 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done particularly well, scoring higher than 99% 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 241,985 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 92% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them