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Pulmonary perfusion imaging using MRI: clinical application

Overview of attention for article published in Insights into Imaging, December 2011
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1 X user

Citations

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Readers on

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49 Mendeley
Title
Pulmonary perfusion imaging using MRI: clinical application
Published in
Insights into Imaging, December 2011
DOI 10.1007/s13244-011-0140-1
Pubmed ID
Authors

Sebastian Ley, Julia Ley-Zaporozhan

Abstract

Lung perfusion is one of the key components of oxygenation. It is hampered in pulmonary arterial diseases and secondary due to parenchymal diseases.

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Czechia 1 2%
Unknown 47 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 29%
Student > Ph. D. Student 11 22%
Other 6 12%
Student > Doctoral Student 3 6%
Student > Postgraduate 3 6%
Other 6 12%
Unknown 6 12%
Readers by discipline Count As %
Medicine and Dentistry 19 39%
Physics and Astronomy 8 16%
Engineering 6 12%
Agricultural and Biological Sciences 2 4%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 3 6%
Unknown 10 20%
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 15 June 2012.
All research outputs
#19,702,729
of 24,217,893 outputs
Outputs from Insights into Imaging
#847
of 1,072 outputs
Outputs of similar age
#203,450
of 250,990 outputs
Outputs of similar age from Insights into Imaging
#5
of 7 outputs
Altmetric has tracked 24,217,893 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,072 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one is in the 11th percentile – i.e., 11% 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 250,990 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.