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X Demographics
Mendeley readers
Attention Score in Context
Title |
Predicting Tyrosine Kinase Inhibitor Treatment Response in Stage IV Lung Adenocarcinoma Patients With EGFR Mutation Using Model-Based Deep Transfer Learning
|
---|---|
Published in |
Frontiers in oncology, July 2021
|
DOI | 10.3389/fonc.2021.679764 |
Pubmed ID | |
Authors |
Runping Hou, Xiaoyang Li, Junfeng Xiong, Tianle Shen, Wen Yu, Lawrence H. Schwartz, Binsheng Zhao, Jun Zhao, Xiaolong Fu |
X Demographics
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 1 | 25% |
Switzerland | 1 | 25% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 75% |
Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 9 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Lecturer | 2 | 22% |
Lecturer > Senior Lecturer | 1 | 11% |
Student > Ph. D. Student | 1 | 11% |
Researcher | 1 | 11% |
Student > Postgraduate | 1 | 11% |
Other | 0 | 0% |
Unknown | 3 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 33% |
Environmental Science | 1 | 11% |
Medicine and Dentistry | 1 | 11% |
Design | 1 | 11% |
Unknown | 3 | 33% |
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 08 August 2021.
All research outputs
#15,751,285
of 25,392,582 outputs
Outputs from Frontiers in oncology
#4,974
of 22,436 outputs
Outputs of similar age
#227,600
of 445,639 outputs
Outputs of similar age from Frontiers in oncology
#249
of 1,338 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,436 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done well, scoring higher than 75% 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 445,639 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,338 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.