| Title |
The diagnostic accuracy of an intelligent and automated fundus disease image assessment system with lesion quantitative function (SmartEye) in diabetic patients
|
|---|---|
| Published in |
BMC Ophthalmology, August 2019
|
| DOI | 10.1186/s12886-019-1196-9 |
| Pubmed ID | |
| Authors |
Yi Xu, Yongyi Wang, Bin Liu, Lin Tang, Liangqing Lv, Xin Ke, Saiguang Ling, Lina Lu, Haidong Zou |
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 % |
|---|---|---|
| United States | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
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 % |
|---|---|---|
| Student > Bachelor | 7 | 19% |
| Student > Master | 5 | 14% |
| Student > Doctoral Student | 2 | 5% |
| Lecturer > Senior Lecturer | 2 | 5% |
| Researcher | 2 | 5% |
| Other | 5 | 14% |
| Unknown | 14 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 24% |
| Computer Science | 4 | 11% |
| Nursing and Health Professions | 3 | 8% |
| Psychology | 2 | 5% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Other | 4 | 11% |
| Unknown | 14 | 38% |
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 16 August 2019.
All research outputs
#15,578,089
of 23,153,849 outputs
Outputs from BMC Ophthalmology
#847
of 2,433 outputs
Outputs of similar age
#210,797
of 342,678 outputs
Outputs of similar age from BMC Ophthalmology
#29
of 63 outputs
Altmetric has tracked 23,153,849 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,433 research outputs from this source. They receive a mean Attention Score of 2.7. This one has gotten more attention than average, scoring higher than 54% 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 342,678 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.