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Natural cubic splines for the analysis of Alzheimer's clinical trials

Overview of attention for article published in Pharmaceutical Statistics, January 2023
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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 (#8 of 580)
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
1 news outlet
twitter
24 X users

Readers on

mendeley
14 Mendeley
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Title
Natural cubic splines for the analysis of Alzheimer's clinical trials
Published in
Pharmaceutical Statistics, January 2023
DOI 10.1002/pst.2285
Pubmed ID
Authors

Michael C. Donohue, Oliver Langford, Philip S. Insel, Christopher H. van Dyck, Ronald C. Petersen, Suzanne Craft, Gopalan Sethuraman, Rema Raman, Paul S. Aisen, For the Alzheimer's Disease Neuroimaging Initiative

X Demographics

X Demographics

The data shown below were collected from the profiles of 24 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 43%
Other 4 29%
Professor 1 7%
Student > Master 1 7%
Professor > Associate Professor 1 7%
Other 0 0%
Unknown 1 7%
Readers by discipline Count As %
Mathematics 3 21%
Neuroscience 3 21%
Engineering 2 14%
Nursing and Health Professions 1 7%
Unspecified 1 7%
Other 2 14%
Unknown 2 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 14 February 2023.
All research outputs
#1,552,271
of 25,375,376 outputs
Outputs from Pharmaceutical Statistics
#8
of 580 outputs
Outputs of similar age
#32,918
of 478,173 outputs
Outputs of similar age from Pharmaceutical Statistics
#1
of 16 outputs
Altmetric has tracked 25,375,376 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 580 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 98% 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 478,173 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 93% of its contemporaries.
We're also able to compare this research output to 16 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 99% of its contemporaries.