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Visualising and modelling changes in categorical variables in longitudinal studies

Overview of attention for article published in BMC Medical Research Methodology, February 2014
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
46 Mendeley
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Title
Visualising and modelling changes in categorical variables in longitudinal studies
Published in
BMC Medical Research Methodology, February 2014
DOI 10.1186/1471-2288-14-32
Pubmed ID
Authors

Mark Jones, Richard Hockey, Gita D Mishra, Annette Dobson

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 4%
Japan 1 2%
Sweden 1 2%
Unknown 42 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 35%
Student > Ph. D. Student 4 9%
Student > Master 4 9%
Student > Doctoral Student 3 7%
Other 3 7%
Other 4 9%
Unknown 12 26%
Readers by discipline Count As %
Medicine and Dentistry 12 26%
Nursing and Health Professions 4 9%
Mathematics 3 7%
Psychology 3 7%
Social Sciences 2 4%
Other 7 15%
Unknown 15 33%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 10 February 2021.
All research outputs
#10,383,549
of 17,366,233 outputs
Outputs from BMC Medical Research Methodology
#1,099
of 1,610 outputs
Outputs of similar age
#192,002
of 378,540 outputs
Outputs of similar age from BMC Medical Research Methodology
#1
of 1 outputs
Altmetric has tracked 17,366,233 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,610 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.9. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
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 378,540 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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