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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Time-related survival prediction in molecular subtypes of breast cancer using time-to-event deep-learning-based models
|
|---|---|
| Published in |
Frontiers in oncology, June 2023
|
| DOI | 10.3389/fonc.2023.1147604 |
| Pubmed ID | |
| Authors |
Saba Zarean Shahraki, Mehdi Azizmohammad Looha, Pooya Mohammadi kazaj, Mehrad Aria, Atieh Akbari, Hassan Emami, Farkhondeh Asadi, Mohammad Esmaeil Akbari |
X Demographics
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 9% |
| Researcher | 2 | 9% |
| Student > Ph. D. Student | 1 | 5% |
| Student > Bachelor | 1 | 5% |
| Professor > Associate Professor | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 15 | 68% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 14% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
| Business, Management and Accounting | 1 | 5% |
| Medicine and Dentistry | 1 | 5% |
| Unknown | 16 | 73% |
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 13 June 2023.
All research outputs
#21,321,749
of 26,173,059 outputs
Outputs from Frontiers in oncology
#11,700
of 22,919 outputs
Outputs of similar age
#292,514
of 394,315 outputs
Outputs of similar age from Frontiers in oncology
#416
of 1,139 outputs
Altmetric has tracked 26,173,059 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 22,919 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 394,315 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,139 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.