The data shown below were collected from the profiles of 5 X users 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.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Fast Open-Source Toolkit for Water T2 Mapping in the Presence of Fat From Multi-Echo Spin-Echo Acquisitions for Muscle MRI
|
---|---|
Published in |
Frontiers in Neurology, February 2021
|
DOI | 10.3389/fneur.2021.630387 |
Pubmed ID | |
Authors |
Francesco Santini, Xeni Deligianni, Matteo Paoletti, Francesca Solazzo, Matthias Weigel, Paulo Loureiro de Sousa, Oliver Bieri, Mauro Monforte, Enzo Ricci, Giorgio Tasca, Anna Pichiecchio, Niels Bergsland |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 20% |
Unknown | 4 | 80% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 37 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 5 | 14% |
Student > Postgraduate | 5 | 14% |
Student > Master | 5 | 14% |
Other | 3 | 8% |
Student > Bachelor | 2 | 5% |
Other | 7 | 19% |
Unknown | 10 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 7 | 19% |
Medicine and Dentistry | 6 | 16% |
Physics and Astronomy | 2 | 5% |
Nursing and Health Professions | 2 | 5% |
Computer Science | 1 | 3% |
Other | 6 | 16% |
Unknown | 13 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 April 2021.
All research outputs
#13,736,777
of 23,285,523 outputs
Outputs from Frontiers in Neurology
#5,385
of 12,187 outputs
Outputs of similar age
#205,472
of 417,420 outputs
Outputs of similar age from Frontiers in Neurology
#399
of 590 outputs
Altmetric has tracked 23,285,523 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,187 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has gotten more attention than average, scoring higher than 54% of its peers.
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 417,420 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 590 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.