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Development of a clinical prediction model for the onset of functional decline in people aged 65–75 years: pooled analysis of four European cohort studies

Overview of attention for article published in BMC Geriatrics, June 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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4 X users

Citations

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26 Dimensions

Readers on

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129 Mendeley
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Title
Development of a clinical prediction model for the onset of functional decline in people aged 65–75 years: pooled analysis of four European cohort studies
Published in
BMC Geriatrics, June 2019
DOI 10.1186/s12877-019-1192-1
Pubmed ID
Authors

Nini H. Jonkman, Marco Colpo, Jochen Klenk, Chris Todd, Trynke Hoekstra, Vieri Del Panta, Kilian Rapp, Natasja M. van Schoor, Stefania Bandinelli, Martijn W. Heymans, Dominique Mauger, Luca Cattelani, Michael D. Denkinger, Dietrich Rothenbacher, Jorunn L. Helbostad, Beatrix Vereijken, Andrea B. Maier, Mirjam Pijnappels

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 129 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 9%
Student > Master 12 9%
Student > Doctoral Student 11 9%
Unspecified 10 8%
Student > Bachelor 10 8%
Other 31 24%
Unknown 43 33%
Readers by discipline Count As %
Medicine and Dentistry 23 18%
Nursing and Health Professions 17 13%
Unspecified 15 12%
Sports and Recreations 5 4%
Psychology 4 3%
Other 14 11%
Unknown 51 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 03 July 2023.
All research outputs
#8,062,481
of 24,224,854 outputs
Outputs from BMC Geriatrics
#1,934
of 3,345 outputs
Outputs of similar age
#138,754
of 354,673 outputs
Outputs of similar age from BMC Geriatrics
#38
of 67 outputs
Altmetric has tracked 24,224,854 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,345 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 40th percentile – i.e., 40% 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 354,673 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.