| Title |
Predicting response to somatostatin analogues in acromegaly: machine learning-based high-dimensional quantitative texture analysis on T2-weighted MRI
|
|---|---|
| Published in |
European Radiology, November 2018
|
| DOI | 10.1007/s00330-018-5876-2 |
| Pubmed ID | |
| Authors |
Burak Kocak, Emine Sebnem Durmaz, Pinar Kadioglu, Ozge Polat Korkmaz, Nil Comunoglu, Necmettin Tanriover, Naci Kocer, Civan Islak, Osman Kizilkilic |
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 % |
|---|---|---|
| Austria | 2 | 50% |
| Netherlands | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 2 | 50% |
| Members of the public | 1 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 46 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 17% |
| Other | 5 | 11% |
| Student > Postgraduate | 5 | 11% |
| Student > Doctoral Student | 4 | 9% |
| Student > Ph. D. Student | 4 | 9% |
| Other | 8 | 17% |
| Unknown | 12 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 21 | 46% |
| Computer Science | 4 | 9% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Physics and Astronomy | 1 | 2% |
| Engineering | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 17 | 37% |
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 28 August 2019.
All research outputs
#15,923,760
of 25,649,244 outputs
Outputs from European Radiology
#2,472
of 5,048 outputs
Outputs of similar age
#247,354
of 447,787 outputs
Outputs of similar age from European Radiology
#31
of 79 outputs
Altmetric has tracked 25,649,244 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,048 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 49th percentile – i.e., 49% 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 447,787 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 79 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 59% of its contemporaries.