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Cochrane Database of Systematic Reviews

Prognostic models for predicting clinical disease progression, worsening and activity in people with multiple sclerosis

Overview of attention for article published in Cochrane database of systematic reviews, September 2023
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
7 X users
q&a
1 Q&A thread

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
34 Mendeley
Title
Prognostic models for predicting clinical disease progression, worsening and activity in people with multiple sclerosis
Published in
Cochrane database of systematic reviews, September 2023
DOI 10.1002/14651858.cd013606.pub2
Pubmed ID
Authors

Kelly Reeve, Begum Irmak On, Joachim Havla, Jacob Burns, Martina A Gosteli-Peter, Albraa Alabsawi, Zoheir Alayash, Andrea Götschi, Heidi Seibold, Ulrich Mansmann, Ulrike Held

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 15%
Student > Bachelor 2 6%
Unspecified 2 6%
Student > Master 2 6%
Student > Doctoral Student 1 3%
Other 4 12%
Unknown 18 53%
Readers by discipline Count As %
Medicine and Dentistry 7 21%
Neuroscience 3 9%
Unspecified 2 6%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Business, Management and Accounting 1 3%
Other 1 3%
Unknown 18 53%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 15 April 2024.
All research outputs
#4,686,131
of 25,746,891 outputs
Outputs from Cochrane database of systematic reviews
#7,053
of 13,136 outputs
Outputs of similar age
#75,613
of 356,288 outputs
Outputs of similar age from Cochrane database of systematic reviews
#61
of 117 outputs
Altmetric has tracked 25,746,891 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,136 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 35.9. This one is in the 46th percentile – i.e., 46% 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 356,288 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 117 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.