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.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Timeline
X Demographics
Attention Score in Context
Title |
A blood-free modeling approach for the quantification of the blood-to-brain tracer exchange in TSPO PET imaging
|
---|---|
Published in |
Frontiers in Neuroscience, July 2024
|
DOI | 10.3389/fnins.2024.1395769 |
Pubmed ID | |
Authors |
Lucia Maccioni, Carranza Mellana Michelle, Ludovica Brusaferri, Erica Silvestri, Alessandra Bertoldo, Julia J. Schubert, Maria A. Nettis, Valeria Mondelli, Oliver Howes, Federico E. Turkheimer, Michel Bottlaender, Benedetta Bodini, Bruno Stankoff, Marco L. Loggia, Mattia Veronese |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
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 23 July 2024.
All research outputs
#23,822,199
of 26,515,106 outputs
Outputs from Frontiers in Neuroscience
#10,474
of 11,901 outputs
Outputs of similar age
#179,880
of 229,790 outputs
Outputs of similar age from Frontiers in Neuroscience
#83
of 127 outputs
Altmetric has tracked 26,515,106 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 11,901 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. 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 229,790 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 127 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.