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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Differential Private Deep Learning Models for Analyzing Breast Cancer Omics Data
|
|---|---|
| Published in |
Frontiers in oncology, June 2022
|
| DOI | 10.3389/fonc.2022.879607 |
| Pubmed ID | |
| Authors |
Mohaiminul Islam, Noman Mohammed, Yang Wang, Pingzhao Hu |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 33% |
| United States | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 2 | 17% |
| Student > Ph. D. Student | 2 | 17% |
| Unspecified | 1 | 8% |
| Student > Postgraduate | 1 | 8% |
| Student > Master | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 5 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 25% |
| Biochemistry, Genetics and Molecular Biology | 1 | 8% |
| Unspecified | 1 | 8% |
| Agricultural and Biological Sciences | 1 | 8% |
| Engineering | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 5 | 42% |
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 13 July 2022.
All research outputs
#16,063,069
of 25,392,582 outputs
Outputs from Frontiers in oncology
#5,648
of 22,436 outputs
Outputs of similar age
#226,303
of 444,498 outputs
Outputs of similar age from Frontiers in oncology
#381
of 1,743 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% 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 gotten more attention than average, scoring higher than 71% 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 444,498 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,743 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.