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.
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.
Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Dose-Distribution-Driven PET Image-Based Outcome Prediction (DDD-PIOP): A Deep Learning Study for Oropharyngeal Cancer IMRT Application
|
---|---|
Published in |
Frontiers in oncology, August 2020
|
DOI | 10.3389/fonc.2020.01592 |
Pubmed ID | |
Authors |
Chunhao Wang, Chenyang Liu, Yushi Chang, Kyle Lafata, Yunfeng Cui, Jiahan Zhang, Yang Sheng, Yvonne Mowery, David Brizel, Fang-Fang Yin |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 23 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 4 | 17% |
Student > Ph. D. Student | 2 | 9% |
Other | 1 | 4% |
Student > Doctoral Student | 1 | 4% |
Unspecified | 1 | 4% |
Other | 3 | 13% |
Unknown | 11 | 48% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 13% |
Medicine and Dentistry | 2 | 9% |
Unspecified | 1 | 4% |
Agricultural and Biological Sciences | 1 | 4% |
Nursing and Health Professions | 1 | 4% |
Other | 2 | 9% |
Unknown | 13 | 57% |
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 05 October 2020.
All research outputs
#20,930,935
of 25,707,225 outputs
Outputs from Frontiers in oncology
#11,510
of 22,767 outputs
Outputs of similar age
#327,597
of 427,711 outputs
Outputs of similar age from Frontiers in oncology
#284
of 585 outputs
Altmetric has tracked 25,707,225 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 22,767 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 28th percentile – i.e., 28% 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 427,711 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 585 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.