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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Noninvasive model for predicting future ischemic strokes in patients with silent lacunar infarction using radiomics
|
|---|---|
| Published in |
BMC Medical Imaging, July 2020
|
| DOI | 10.1186/s12880-020-00470-7 |
| Pubmed ID | |
| Authors |
Jie-hua Su, Ling-wei Meng, Di Dong, Wen-yan Zhuo, Jian-ming Wang, Li-bin Liu, Yi Qin, Ye Tian, Jie Tian, Zhao-hui Li |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 3 | 14% |
| Student > Master | 3 | 14% |
| Student > Postgraduate | 2 | 10% |
| Student > Ph. D. Student | 2 | 10% |
| Lecturer > Senior Lecturer | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 8 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 19% |
| Medicine and Dentistry | 3 | 14% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Nursing and Health Professions | 1 | 5% |
| Unspecified | 1 | 5% |
| Other | 4 | 19% |
| Unknown | 7 | 33% |
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 10 July 2020.
All research outputs
#18,732,892
of 23,220,133 outputs
Outputs from BMC Medical Imaging
#376
of 612 outputs
Outputs of similar age
#299,038
of 396,946 outputs
Outputs of similar age from BMC Medical Imaging
#8
of 24 outputs
Altmetric has tracked 23,220,133 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 612 research outputs from this source. They receive a mean Attention Score of 2.1. This one is in the 25th percentile – i.e., 25% 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 396,946 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 24 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.