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Is there an optimal method for measuring baseline metabolic tumor volume in diffuse large B cell lymphoma?

Overview of attention for article published in European Journal of Nuclear Medicine and Molecular Imaging, November 2018
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1 X user

Citations

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13 Mendeley
Title
Is there an optimal method for measuring baseline metabolic tumor volume in diffuse large B cell lymphoma?
Published in
European Journal of Nuclear Medicine and Molecular Imaging, November 2018
DOI 10.1007/s00259-018-4200-3
Pubmed ID
Authors

Hajira Ilyas, N. George Mikhaeel, Joel T. Dunn, Fareen Rahman, Henrik Möller, Daniel Smith, Sally F. Barrington

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

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 31%
Student > Doctoral Student 2 15%
Student > Bachelor 1 8%
Student > Master 1 8%
Professor 1 8%
Other 0 0%
Unknown 4 31%
Readers by discipline Count As %
Medicine and Dentistry 7 54%
Engineering 1 8%
Unknown 5 38%
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 03 November 2018.
All research outputs
#21,153,429
of 23,806,312 outputs
Outputs from European Journal of Nuclear Medicine and Molecular Imaging
#2,610
of 3,083 outputs
Outputs of similar age
#308,326
of 352,835 outputs
Outputs of similar age from European Journal of Nuclear Medicine and Molecular Imaging
#35
of 44 outputs
Altmetric has tracked 23,806,312 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 3,083 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. 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 352,835 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 44 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.