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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Glioma Grading on Conventional MR Images: A Deep Learning Study With Transfer Learning
|
|---|---|
| Published in |
Frontiers in Neuroscience, November 2018
|
| DOI | 10.3389/fnins.2018.00804 |
| Pubmed ID | |
| Authors |
Yang Yang, Lin-Feng Yan, Xin Zhang, Yu Han, Hai-Yan Nan, Yu-Chuan Hu, Bo Hu, Song-Lin Yan, Jin Zhang, Dong-Liang Cheng, Xiang-Wei Ge, Guang-Bin Cui, Di Zhao, Wen Wang |
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 % |
|---|---|---|
| Netherlands | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 207 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 207 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 31 | 15% |
| Student > Master | 24 | 12% |
| Researcher | 12 | 6% |
| Student > Doctoral Student | 12 | 6% |
| Student > Bachelor | 12 | 6% |
| Other | 37 | 18% |
| Unknown | 79 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 49 | 24% |
| Engineering | 22 | 11% |
| Medicine and Dentistry | 16 | 8% |
| Neuroscience | 6 | 3% |
| Physics and Astronomy | 4 | 2% |
| Other | 18 | 9% |
| Unknown | 92 | 44% |
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 01 December 2018.
All research outputs
#20,663,600
of 25,385,509 outputs
Outputs from Frontiers in Neuroscience
#9,459
of 11,543 outputs
Outputs of similar age
#276,923
of 354,396 outputs
Outputs of similar age from Frontiers in Neuroscience
#233
of 276 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,543 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one is in the 12th percentile – i.e., 12% 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 354,396 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 276 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.