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Evaluation of a Fully Automatic Deep Learning-Based Method for the Measurement of Psoas Muscle Area

Overview of attention for article published in Frontiers in Nutrition, May 2022
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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1 X user

Citations

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15 Dimensions

Readers on

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27 Mendeley
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Title
Evaluation of a Fully Automatic Deep Learning-Based Method for the Measurement of Psoas Muscle Area
Published in
Frontiers in Nutrition, May 2022
DOI 10.3389/fnut.2022.781860
Pubmed ID
Authors

Dennis Van Erck, Pim Moeskops, Josje D. Schoufour, Peter J. M. Weijs, Wilma J. M. Scholte Op Reimer, Martijn S. Van Mourik, Yvonne C. Janmaat, R. Nils Planken, Marije Vis, Jan Baan, Robert Hemke, Ivana Išgum, José P. Henriques, Bob D. De Vos, Ronak Delewi

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 22%
Unspecified 1 4%
Professor > Associate Professor 1 4%
Student > Master 1 4%
Unknown 18 67%
Readers by discipline Count As %
Medicine and Dentistry 2 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Biochemistry, Genetics and Molecular Biology 1 4%
Unspecified 1 4%
Computer Science 1 4%
Other 3 11%
Unknown 18 67%
Attention Score in Context

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 12 May 2022.
All research outputs
#15,687,628
of 23,312,088 outputs
Outputs from Frontiers in Nutrition
#2,679
of 4,913 outputs
Outputs of similar age
#249,633
of 442,606 outputs
Outputs of similar age from Frontiers in Nutrition
#335
of 677 outputs
Altmetric has tracked 23,312,088 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,913 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one is in the 39th percentile – i.e., 39% 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 442,606 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 677 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.