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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Analysis of COVID-19 Infections on a CT Image Using DeepSense Model
|
|---|---|
| Published in |
Frontiers in Public Health, November 2020
|
| DOI | 10.3389/fpubh.2020.599550 |
| Pubmed ID | |
| Authors |
Adil Khadidos, Alaa O. Khadidos, Srihari Kannan, Yuvaraj Natarajan, Sachi Nandan Mohanty, Georgios Tsaramirsis |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 25% |
| South Africa | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Practitioners (doctors, other healthcare professionals) | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 78 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 9 | 12% |
| Researcher | 8 | 10% |
| Student > Master | 8 | 10% |
| Student > Doctoral Student | 6 | 8% |
| Lecturer | 4 | 5% |
| Other | 13 | 17% |
| Unknown | 30 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 14% |
| Engineering | 10 | 13% |
| Computer Science | 8 | 10% |
| Nursing and Health Professions | 4 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 3% |
| Other | 8 | 10% |
| Unknown | 35 | 45% |
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 02 January 2021.
All research outputs
#15,507,078
of 26,473,472 outputs
Outputs from Frontiers in Public Health
#4,417
of 14,996 outputs
Outputs of similar age
#265,372
of 533,878 outputs
Outputs of similar age from Frontiers in Public Health
#160
of 363 outputs
Altmetric has tracked 26,473,472 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,996 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has gotten more attention than average, scoring higher than 70% 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 533,878 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 363 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 55% of its contemporaries.