The data shown below were collected from the profiles of 45 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
SurvNet: A Novel Deep Neural Network for Lung Cancer Survival Analysis With Missing Values
|
|---|---|
| Published in |
Frontiers in oncology, January 2021
|
| DOI | 10.3389/fonc.2020.588990 |
| Pubmed ID | |
| Authors |
Jianyong Wang, Nan Chen, Jixiang Guo, Xiuyuan Xu, Lunxu Liu, Zhang Yi |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 13% |
| Comoros | 2 | 4% |
| South Africa | 1 | 2% |
| Switzerland | 1 | 2% |
| Cameroon | 1 | 2% |
| United Kingdom | 1 | 2% |
| India | 1 | 2% |
| Belgium | 1 | 2% |
| Kenya | 1 | 2% |
| Other | 4 | 9% |
| Unknown | 26 | 58% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 39 | 87% |
| Scientists | 5 | 11% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 52 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 19% |
| Student > Master | 5 | 10% |
| Student > Bachelor | 3 | 6% |
| Student > Ph. D. Student | 3 | 6% |
| Other | 1 | 2% |
| Other | 4 | 8% |
| Unknown | 26 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 15% |
| Medicine and Dentistry | 7 | 13% |
| Engineering | 4 | 8% |
| Mathematics | 2 | 4% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Other | 6 | 12% |
| Unknown | 24 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 24 December 2021.
All research outputs
#1,852,872
of 26,433,695 outputs
Outputs from Frontiers in oncology
#370
of 23,154 outputs
Outputs of similar age
#50,785
of 540,296 outputs
Outputs of similar age from Frontiers in oncology
#15
of 731 outputs
Altmetric has tracked 26,433,695 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 23,154 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done particularly well, scoring higher than 98% 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 540,296 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 731 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.