The data shown below were collected from the profiles of 3 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 |
Diagnostic Performance of MRI Volumetry in Epilepsy Patients With Hippocampal Sclerosis Supported Through a Random Forest Automatic Classification Algorithm
|
---|---|
Published in |
Frontiers in Neurology, February 2021
|
DOI | 10.3389/fneur.2021.613967 |
Pubmed ID | |
Authors |
Juan Pablo Princich, Patricio Andres Donnelly-Kehoe, Alvaro Deleglise, Mariana Nahir Vallejo-Azar, Guido Orlando Pascariello, Pablo Seoane, Jose Gabriel Veron Do Santos, Santiago Collavini, Alejandro Hugo Nasimbera, Silvia Kochen |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Argentina | 2 | 67% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 34 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 18% |
Researcher | 4 | 12% |
Student > Master | 3 | 9% |
Lecturer | 2 | 6% |
Student > Bachelor | 1 | 3% |
Other | 3 | 9% |
Unknown | 15 | 44% |
Readers by discipline | Count | As % |
---|---|---|
Neuroscience | 8 | 24% |
Medicine and Dentistry | 3 | 9% |
Engineering | 2 | 6% |
Computer Science | 1 | 3% |
Environmental Science | 1 | 3% |
Other | 2 | 6% |
Unknown | 17 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 31 March 2021.
All research outputs
#2,753,168
of 23,283,373 outputs
Outputs from Frontiers in Neurology
#1,611
of 12,182 outputs
Outputs of similar age
#72,892
of 418,099 outputs
Outputs of similar age from Frontiers in Neurology
#118
of 583 outputs
Altmetric has tracked 23,283,373 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,182 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 done well, scoring higher than 86% 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 418,099 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 583 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.