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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Computer aided quantification for retinal lesions in patients with moderate and severe non-proliferative diabetic retinopathy: a retrospective cohort study
|
|---|---|
| Published in |
BMC Ophthalmology, October 2014
|
| DOI | 10.1186/1471-2415-14-126 |
| Pubmed ID | |
| Authors |
Huiqun Wu, Xiaofeng Zhang, Xingyun Geng, Jiancheng Dong, Guomin Zhou |
| Abstract |
Detection of retinal lesions like micro-aneurysms and exudates are important for the clinical diagnosis of diabetes retinopathy. The traditional subjective judgments by clinicians are dependent on their experience and can be subject to lack of consistency and therefore a quantification method is worthwhile. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 25% |
| United Kingdom | 1 | 25% |
| Egypt | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 4 | 18% |
| Student > Ph. D. Student | 3 | 14% |
| Student > Bachelor | 2 | 9% |
| Student > Postgraduate | 2 | 9% |
| Other | 1 | 5% |
| Other | 5 | 23% |
| Unknown | 5 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 32% |
| Computer Science | 5 | 23% |
| Engineering | 2 | 9% |
| Neuroscience | 1 | 5% |
| Social Sciences | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 6 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 03 November 2014.
All research outputs
#14,428,455
of 23,881,329 outputs
Outputs from BMC Ophthalmology
#568
of 2,554 outputs
Outputs of similar age
#131,835
of 262,989 outputs
Outputs of similar age from BMC Ophthalmology
#11
of 32 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,554 research outputs from this source. They receive a mean Attention Score of 2.7. This one has done well, scoring higher than 78% 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 262,989 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
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 68% of its contemporaries.