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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Neural Network and Optimization Based Lung Cancer Detection System in CT Images
|
|---|---|
| Published in |
Frontiers in Public Health, June 2022
|
| DOI | 10.3389/fpubh.2022.769692 |
| Pubmed ID | |
| Authors |
Chapala Venkatesh, Kadiyala Ramana, Siva Yamini Lakkisetty, Shahab S. Band, Shweta Agarwal, Amir Mosavi |
X Demographics
The data shown below were collected from the profiles of 7 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 States | 3 | 43% |
| Canada | 1 | 14% |
| Switzerland | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Scientists | 1 | 14% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 3 | 8% |
| Student > Ph. D. Student | 3 | 8% |
| Researcher | 3 | 8% |
| Student > Bachelor | 2 | 5% |
| Unspecified | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 23 | 62% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 5% |
| Computer Science | 2 | 5% |
| Engineering | 2 | 5% |
| Medicine and Dentistry | 2 | 5% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 26 | 70% |
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 25 June 2022.
All research outputs
#13,501,670
of 23,946,786 outputs
Outputs from Frontiers in Public Health
#3,054
of 11,823 outputs
Outputs of similar age
#168,067
of 432,405 outputs
Outputs of similar age from Frontiers in Public Health
#209
of 1,245 outputs
Altmetric has tracked 23,946,786 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 11,823 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has gotten more attention than average, scoring higher than 73% 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 432,405 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 60% of its contemporaries.
We're also able to compare this research output to 1,245 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.