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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine and Deep Learning Based Radiomics Models for Preoperative Prediction of Benign and Malignant Sacral Tumors
|
|---|---|
| Published in |
Frontiers in oncology, October 2020
|
| DOI | 10.3389/fonc.2020.564725 |
| Pubmed ID | |
| Authors |
Ping Yin, Ning Mao, Hao Chen, Chao Sun, Sicong Wang, Xia Liu, Nan Hong |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 19% |
| Student > Master | 2 | 13% |
| Professor | 1 | 6% |
| Lecturer > Senior Lecturer | 1 | 6% |
| Researcher | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 7 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 25% |
| Engineering | 3 | 19% |
| Unknown | 9 | 56% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 14 November 2020.
All research outputs
#23,183,846
of 25,838,141 outputs
Outputs from Frontiers in oncology
#16,264
of 22,812 outputs
Outputs of similar age
#379,420
of 439,139 outputs
Outputs of similar age from Frontiers in oncology
#433
of 696 outputs
Altmetric has tracked 25,838,141 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,812 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 1st percentile – i.e., 1% 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 439,139 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 696 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.