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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Multiparametric MRI-Based Radiomics Model for Predicting H3 K27M Mutant Status in Diffuse Midline Glioma: A Comparative Study Across Different Sequences and Machine Learning Techniques
|
---|---|
Published in |
Frontiers in oncology, March 2022
|
DOI | 10.3389/fonc.2022.796583 |
Pubmed ID | |
Authors |
Wei Guo, Dejun She, Zhen Xing, Xiang Lin, Feng Wang, Yang Song, Dairong Cao |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 25% |
Unknown | 3 | 75% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 44 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Doctoral Student | 2 | 5% |
Student > Ph. D. Student | 2 | 5% |
Student > Master | 1 | 2% |
Researcher | 1 | 2% |
Student > Postgraduate | 1 | 2% |
Other | 0 | 0% |
Unknown | 37 | 84% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 3 | 7% |
Biochemistry, Genetics and Molecular Biology | 1 | 2% |
Chemistry | 1 | 2% |
Computer Science | 1 | 2% |
Unknown | 38 | 86% |
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 22 March 2022.
All research outputs
#15,689,414
of 26,166,431 outputs
Outputs from Frontiers in oncology
#4,732
of 22,913 outputs
Outputs of similar age
#215,317
of 454,669 outputs
Outputs of similar age from Frontiers in oncology
#295
of 1,544 outputs
Altmetric has tracked 26,166,431 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,913 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done well, scoring higher than 77% of its peers.
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 454,669 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 1,544 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.