| Title |
Application of MR morphologic, diffusion tensor, and perfusion imaging in the classification of brain tumors using machine learning scheme
|
|---|---|
| Published in |
Neuroradiology, April 2019
|
| DOI | 10.1007/s00234-019-02195-z |
| Pubmed ID | |
| Authors |
Shai Shrot, Moshe Salhov, Nir Dvorski, Eli Konen, Amir Averbuch, Chen Hoffmann |
X Demographics
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 77 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 19% |
| Student > Master | 6 | 8% |
| Student > Doctoral Student | 5 | 6% |
| Student > Postgraduate | 4 | 5% |
| Student > Ph. D. Student | 4 | 5% |
| Other | 13 | 17% |
| Unknown | 30 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 18% |
| Computer Science | 7 | 9% |
| Biochemistry, Genetics and Molecular Biology | 5 | 6% |
| Unspecified | 3 | 4% |
| Engineering | 3 | 4% |
| Other | 12 | 16% |
| Unknown | 33 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 08 January 2020.
All research outputs
#7,769,944
of 25,378,162 outputs
Outputs from Neuroradiology
#314
of 1,537 outputs
Outputs of similar age
#135,812
of 348,754 outputs
Outputs of similar age from Neuroradiology
#8
of 31 outputs
Altmetric has tracked 25,378,162 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,537 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 79% 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 348,754 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.