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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Predicting Post-Therapeutic Visual Acuity and OCT Images in Patients With Central Serous Chorioretinopathy by Artificial Intelligence
|
|---|---|
| Published in |
Frontiers in Bioengineering and Biotechnology, November 2021
|
| DOI | 10.3389/fbioe.2021.649221 |
| Pubmed ID | |
| Authors |
Fabao Xu, Cheng Wan, Lanqin Zhao, Shaopeng Liu, Jiaming Hong, Yifan Xiang, Qijing You, Lijun Zhou, Zhongwen Li, Songjian Gong, Yi Zhu, Chuan Chen, Li Zhang, Yajun Gong, Longhui Li, Cong Li, Xiayin Zhang, Chong Guo, Kunbei Lai, Chuangxin Huang, Daniel Ting, Haotian Lin, Chenjin Jin |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 2 | 13% |
| Researcher | 2 | 13% |
| Student > Bachelor | 1 | 7% |
| Student > Doctoral Student | 1 | 7% |
| Student > Master | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 7 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 2 | 13% |
| Computer Science | 2 | 13% |
| Immunology and Microbiology | 1 | 7% |
| Social Sciences | 1 | 7% |
| Medicine and Dentistry | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 8 | 53% |
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 25 November 2021.
All research outputs
#18,809,260
of 23,310,485 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#3,529
of 6,957 outputs
Outputs of similar age
#365,357
of 510,402 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#233
of 478 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,957 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 31st percentile – i.e., 31% 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 510,402 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 478 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.