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Lumbar muscle and vertebral bodies segmentation of chemical shift encoding-based water-fat MRI: the reference database MyoSegmenTUM spine

Overview of attention for article published in BMC Musculoskeletal Disorders, April 2019
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Mentioned by

twitter
1 tweeter

Citations

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7 Dimensions

Readers on

mendeley
32 Mendeley
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Title
Lumbar muscle and vertebral bodies segmentation of chemical shift encoding-based water-fat MRI: the reference database MyoSegmenTUM spine
Published in
BMC Musculoskeletal Disorders, April 2019
DOI 10.1186/s12891-019-2528-x
Pubmed ID
Authors

Egon Burian, Alexander Rohrmeier, Sarah Schlaeger, Michael Dieckmeyer, Maximilian N. Diefenbach, Jan Syväri, Elisabeth Klupp, Dominik Weidlich, Claus Zimmer, Ernst J. Rummeny, Dimitrios C. Karampinos, Jan S. Kirschke, Thomas Baum

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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 19%
Student > Master 5 16%
Student > Bachelor 4 13%
Student > Doctoral Student 3 9%
Student > Ph. D. Student 1 3%
Other 3 9%
Unknown 10 31%
Readers by discipline Count As %
Medicine and Dentistry 6 19%
Engineering 6 19%
Nursing and Health Professions 2 6%
Computer Science 2 6%
Psychology 1 3%
Other 3 9%
Unknown 12 38%

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 21 April 2019.
All research outputs
#12,948,168
of 14,684,909 outputs
Outputs from BMC Musculoskeletal Disorders
#2,641
of 2,906 outputs
Outputs of similar age
#223,224
of 264,951 outputs
Outputs of similar age from BMC Musculoskeletal Disorders
#1
of 1 outputs
Altmetric has tracked 14,684,909 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 2,906 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. 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 264,951 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 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