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Mendeley readers
Attention Score in Context
| Title |
FDG kinetic modeling in small rodent brain PET: optimization of data acquisition and analysis
|
|---|---|
| Published in |
EJNMMI Research, August 2013
|
| DOI | 10.1186/2191-219x-3-61 |
| Pubmed ID | |
| Authors |
Malte F Alf, Marianne I Martić-Kehl, Roger Schibli, Stefanie D Krämer |
| Abstract |
Kinetic modeling of brain glucose metabolism in small rodents from positron emission tomography (PET) data using 2-deoxy-2-[(18) F]fluoro-d-glucose (FDG) has been highly inconsistent, due to different modeling parameter settings and underestimation of the impact of methodological flaws in experimentation. This article aims to contribute toward improved experimental standards. As solutions for arterial input function (IF) acquisition of satisfactory quality are becoming available for small rodents, reliable two-tissue compartment modeling and the determination of transport and phosphorylation rate constants of FDG in rodent brain are within reach. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 2% |
| France | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 38 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 37% |
| Researcher | 8 | 20% |
| Professor > Associate Professor | 5 | 12% |
| Student > Master | 5 | 12% |
| Other | 3 | 7% |
| Other | 3 | 7% |
| Unknown | 2 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 29% |
| Neuroscience | 9 | 22% |
| Physics and Astronomy | 6 | 15% |
| Computer Science | 3 | 7% |
| Agricultural and Biological Sciences | 3 | 7% |
| Other | 6 | 15% |
| Unknown | 2 | 5% |
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 March 2014.
All research outputs
#15,296,915
of 22,749,166 outputs
Outputs from EJNMMI Research
#253
of 555 outputs
Outputs of similar age
#121,900
of 197,276 outputs
Outputs of similar age from EJNMMI Research
#3
of 4 outputs
Altmetric has tracked 22,749,166 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 555 research outputs from this source. They receive a mean Attention Score of 2.5. This one is in the 44th percentile – i.e., 44% 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 197,276 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.