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X Demographics
Mendeley readers
Attention Score in Context
| Title |
FLED-Block: Federated Learning Ensembled Deep Learning Blockchain Model for COVID-19 Prediction
|
|---|---|
| Published in |
Frontiers in Public Health, June 2022
|
| DOI | 10.3389/fpubh.2022.892499 |
| Pubmed ID | |
| Authors |
R. Durga, E. Poovammal |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 40% |
| India | 1 | 20% |
| Switzerland | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 70 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 21 | 30% |
| Student > Ph. D. Student | 4 | 6% |
| Student > Master | 3 | 4% |
| Student > Doctoral Student | 3 | 4% |
| Student > Bachelor | 2 | 3% |
| Other | 8 | 11% |
| Unknown | 29 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 21 | 30% |
| Computer Science | 11 | 16% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 3% |
| Nursing and Health Professions | 2 | 3% |
| Psychology | 2 | 3% |
| Other | 6 | 9% |
| Unknown | 26 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 05 July 2022.
All research outputs
#12,857,684
of 22,792,160 outputs
Outputs from Frontiers in Public Health
#2,633
of 9,794 outputs
Outputs of similar age
#162,971
of 440,078 outputs
Outputs of similar age from Frontiers in Public Health
#188
of 1,238 outputs
Altmetric has tracked 22,792,160 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,794 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 10.0. This one has gotten more attention than average, scoring higher than 72% 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 440,078 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 62% of its contemporaries.
We're also able to compare this research output to 1,238 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.