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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Comparison of radiomics machine-learning classifiers and feature selection for differentiation of sacral chordoma and sacral giant cell tumour based on 3D computed tomography features
|
|---|---|
| Published in |
European Radiology, October 2018
|
| DOI | 10.1007/s00330-018-5730-6 |
| Pubmed ID | |
| Authors |
Ping Yin, Ning Mao, Chao Zhao, Jiangfen Wu, Chao Sun, Lei Chen, Nan Hong |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Netherlands | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 84 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 17% |
| Researcher | 11 | 13% |
| Student > Master | 10 | 12% |
| Other | 5 | 6% |
| Student > Bachelor | 5 | 6% |
| Other | 11 | 13% |
| Unknown | 28 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 24 | 29% |
| Engineering | 9 | 11% |
| Physics and Astronomy | 4 | 5% |
| Computer Science | 4 | 5% |
| Social Sciences | 2 | 2% |
| Other | 7 | 8% |
| Unknown | 34 | 40% |
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 17 January 2020.
All research outputs
#15,020,054
of 23,105,443 outputs
Outputs from European Radiology
#2,338
of 4,186 outputs
Outputs of similar age
#203,821
of 343,927 outputs
Outputs of similar age from European Radiology
#40
of 76 outputs
Altmetric has tracked 23,105,443 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,186 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 40th percentile – i.e., 40% 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 343,927 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 76 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.