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Development and validation of total and regional body composition prediction equations from anthropometry and single frequency segmental bioelectrical impedance with DEXA.

Overview of attention for article published in medRxiv, December 2020
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Mentioned by

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1 tweeter

Citations

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3 Dimensions

Readers on

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2 Mendeley
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Title
Development and validation of total and regional body composition prediction equations from anthropometry and single frequency segmental bioelectrical impedance with DEXA.
Published in
medRxiv, December 2020
DOI 10.1101/2020.12.16.20248330
Authors

Richard M Powell, Emanuella De Lucia Rolfe, Felix R Day, John R.B Perry, Simon J Griffin, Nita Forouhi, Soren Brage, Nicholas J Wareham, Claudia Langenberg, Ken Ong

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 50%
Unknown 1 50%
Readers by discipline Count As %
Engineering 1 50%
Unknown 1 50%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 18 December 2020.
All research outputs
#17,540,703
of 19,787,208 outputs
Outputs from medRxiv
#22,383
of 27,264 outputs
Outputs of similar age
#391,530
of 466,790 outputs
Outputs of similar age from medRxiv
#2,418
of 2,870 outputs
Altmetric has tracked 19,787,208 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 27,264 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 63.3. This one is in the 1st percentile – i.e., 1% 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 466,790 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2,870 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.