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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Application of machine learning missing data imputation techniques in clinical decision making: taking the discharge assessment of patients with spontaneous supratentorial intracerebral hemorrhage as an example
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, January 2022
|
| DOI | 10.1186/s12911-022-01752-6 |
| Pubmed ID | |
| Authors |
Huimin Wang, Jianxiang Tang, Mengyao Wu, Xiaoyu Wang, Tao Zhang |
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 States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 62 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 18% |
| Student > Ph. D. Student | 4 | 6% |
| Lecturer > Senior Lecturer | 3 | 5% |
| Researcher | 3 | 5% |
| Student > Bachelor | 3 | 5% |
| Other | 7 | 11% |
| Unknown | 31 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 10 | 16% |
| Mathematics | 3 | 5% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Medicine and Dentistry | 2 | 3% |
| Social Sciences | 2 | 3% |
| Other | 10 | 16% |
| Unknown | 33 | 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 13 January 2022.
All research outputs
#21,392,871
of 23,885,338 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,861
of 2,048 outputs
Outputs of similar age
#428,282
of 507,103 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#43
of 54 outputs
Altmetric has tracked 23,885,338 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,048 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 1st percentile – i.e., 1% 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 507,103 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 54 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.