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X Demographics
Mendeley readers
Attention Score in Context
| Title |
FN-OCT: Disease Detection Algorithm for Retinal Optical Coherence Tomography Based on a Fusion Network
|
|---|---|
| Published in |
Frontiers in Neuroinformatics, June 2022
|
| DOI | 10.3389/fninf.2022.876927 |
| Pubmed ID | |
| Authors |
Zhuang Ai, Xuan Huang, Jing Feng, Hui Wang, Yong Tao, Fanxin Zeng, Yaping Lu |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 9% |
| Student > Ph. D. Student | 3 | 9% |
| Other | 2 | 6% |
| Lecturer > Senior Lecturer | 1 | 3% |
| Student > Bachelor | 1 | 3% |
| Other | 4 | 11% |
| Unknown | 21 | 60% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 11% |
| Engineering | 4 | 11% |
| Business, Management and Accounting | 1 | 3% |
| Medicine and Dentistry | 1 | 3% |
| Unspecified | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 24 | 69% |
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
#13,195,543
of 22,792,160 outputs
Outputs from Frontiers in Neuroinformatics
#421
of 749 outputs
Outputs of similar age
#161,763
of 411,792 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#15
of 32 outputs
Altmetric has tracked 22,792,160 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 749 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one is in the 42nd percentile – i.e., 42% 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 411,792 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 59% of its contemporaries.
We're also able to compare this research output to 32 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 53% of its contemporaries.