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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Deep-Learning Model With the Attention Mechanism Could Rigorously Predict Survivals in Neuroblastoma
|
|---|---|
| Published in |
Frontiers in oncology, July 2021
|
| DOI | 10.3389/fonc.2021.653863 |
| Pubmed ID | |
| Authors |
Chenzhao Feng, Tianyu Xiang, Zixuan Yi, Xinyao Meng, Xufeng Chu, Guiyang Huang, Xiang Zhao, Feng Chen, Bo Xiong, Jiexiong Feng |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 2 | 20% |
| United Kingdom | 1 | 10% |
| Germany | 1 | 10% |
| Peru | 1 | 10% |
| Unknown | 5 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 60% |
| Science communicators (journalists, bloggers, editors) | 2 | 20% |
| Practitioners (doctors, other healthcare professionals) | 2 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 20% |
| Student > Postgraduate | 2 | 13% |
| Student > Ph. D. Student | 2 | 13% |
| Lecturer > Senior Lecturer | 1 | 7% |
| Researcher | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 5 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 2 | 13% |
| Computer Science | 2 | 13% |
| Business, Management and Accounting | 1 | 7% |
| Agricultural and Biological Sciences | 1 | 7% |
| Engineering | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 7 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 02 August 2021.
All research outputs
#5,406,748
of 25,655,374 outputs
Outputs from Frontiers in oncology
#1,901
of 22,758 outputs
Outputs of similar age
#117,128
of 448,071 outputs
Outputs of similar age from Frontiers in oncology
#108
of 1,360 outputs
Altmetric has tracked 25,655,374 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 22,758 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done particularly well, scoring higher than 91% 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 448,071 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 73% of its contemporaries.
We're also able to compare this research output to 1,360 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 92% of its contemporaries.