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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deep Learning for Detecting Subretinal Fluid and Discerning Macular Status by Fundus Images in Central Serous Chorioretinopathy
|
|---|---|
| Published in |
Frontiers in Bioengineering and Biotechnology, November 2021
|
| DOI | 10.3389/fbioe.2021.651340 |
| Pubmed ID | |
| Authors |
Fabao Xu, Shaopeng Liu, Yifan Xiang, Zhenzhe Lin, Cong Li, Lijun Zhou, Yajun Gong, Longhui Li, Zhongwen Li, Chong Guo, Chuangxin Huang, Kunbei Lai, Hongkun Zhao, Jiaming Hong, Haotian Lin, Chenjin Jin |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 11% |
| Professor > Associate Professor | 1 | 11% |
| Researcher | 1 | 11% |
| Unknown | 6 | 67% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 22% |
| Business, Management and Accounting | 1 | 11% |
| Unknown | 6 | 67% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 November 2021.
All research outputs
#20,468,927
of 25,155,561 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#4,014
of 8,308 outputs
Outputs of similar age
#325,215
of 436,230 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#243
of 475 outputs
Altmetric has tracked 25,155,561 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,308 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 35th percentile – i.e., 35% 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 436,230 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 475 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.