| Title |
Universal artificial intelligence platform for collaborative management of cataracts
|
|---|---|
| Published in |
British Journal of Ophthalmology, September 2019
|
| DOI | 10.1136/bjophthalmol-2019-314729 |
| Pubmed ID | |
| Authors |
Xiaohang Wu, Yelin Huang, Zhenzhen Liu, Weiyi Lai, Erping Long, Kai Zhang, Jiewei Jiang, Duoru Lin, Kexin Chen, Tongyong Yu, Dongxuan Wu, Cong Li, Yanyi Chen, Minjie Zou, Chuan Chen, Yi Zhu, Chong Guo, Xiayin Zhang, Ruixin Wang, Yahan Yang, Yifan Xiang, Lijian Chen, Congxin Liu, Jianhao Xiong, Zongyuan Ge, Dingding Wang, Guihua Xu, Shaolin Du, Chi Xiao, Jianghao Wu, Ke Zhu, Danyao Nie, Fan Xu, Jian Lv, Weirong Chen, Yizhi Liu, Haotian Lin |
X Demographics
The data shown below were collected from the profiles of 14 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 | 4 | 29% |
| Canada | 1 | 7% |
| Spain | 1 | 7% |
| Unknown | 8 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 57% |
| Practitioners (doctors, other healthcare professionals) | 3 | 21% |
| Scientists | 2 | 14% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 162 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 162 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 11% |
| Student > Ph. D. Student | 16 | 10% |
| Student > Bachelor | 12 | 7% |
| Student > Master | 12 | 7% |
| Other | 11 | 7% |
| Other | 29 | 18% |
| Unknown | 64 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 37 | 23% |
| Computer Science | 12 | 7% |
| Nursing and Health Professions | 10 | 6% |
| Engineering | 8 | 5% |
| Business, Management and Accounting | 6 | 4% |
| Other | 19 | 12% |
| Unknown | 70 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 07 August 2020.
All research outputs
#3,985,940
of 24,119,703 outputs
Outputs from British Journal of Ophthalmology
#826
of 5,893 outputs
Outputs of similar age
#75,277
of 343,683 outputs
Outputs of similar age from British Journal of Ophthalmology
#13
of 84 outputs
Altmetric has tracked 24,119,703 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,893 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done well, scoring higher than 85% 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 343,683 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 84 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.