| Title |
Vertebral body insufficiency fractures: detection of vertebrae at risk on standard CT images using texture analysis and machine learning
|
|---|---|
| Published in |
European Radiology, December 2018
|
| DOI | 10.1007/s00330-018-5846-8 |
| Pubmed ID | |
| Authors |
Urs J. Muehlematter, Manoj Mannil, Anton S. Becker, Kerstin N. Vokinger, Tim Finkenstaedt, Georg Osterhoff, Michael A. Fischer, Roman Guggenberger |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 2 | 50% |
| United Kingdom | 1 | 25% |
| Switzerland | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 50% |
| Scientists | 1 | 25% |
| Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 115 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 13% |
| Student > Ph. D. Student | 11 | 10% |
| Student > Master | 8 | 7% |
| Student > Doctoral Student | 4 | 3% |
| Student > Bachelor | 4 | 3% |
| Other | 15 | 13% |
| Unknown | 58 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 32 | 28% |
| Engineering | 9 | 8% |
| Computer Science | 5 | 4% |
| Unspecified | 3 | 3% |
| Biochemistry, Genetics and Molecular Biology | 2 | 2% |
| Other | 3 | 3% |
| Unknown | 61 | 53% |
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 01 July 2019.
All research outputs
#14,432,184
of 23,116,036 outputs
Outputs from European Radiology
#2,196
of 4,187 outputs
Outputs of similar age
#235,526
of 437,126 outputs
Outputs of similar age from European Radiology
#28
of 73 outputs
Altmetric has tracked 23,116,036 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,187 research outputs from this source. They receive a mean Attention Score of 4.6. 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 437,126 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.