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Mendeley readers
Attention Score in Context
| Title |
Mortality Prediction in Cerebral Hemorrhage Patients Using Machine Learning Algorithms in Intensive Care Units
|
|---|---|
| Published in |
Frontiers in Neurology, January 2021
|
| DOI | 10.3389/fneur.2020.610531 |
| Pubmed ID | |
| Authors |
Ximing Nie, Yuan Cai, Jingyi Liu, Xiran Liu, Jiahui Zhao, Zhonghua Yang, Miao Wen, Liping Liu |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 15% |
| Student > Doctoral Student | 2 | 10% |
| Lecturer | 1 | 5% |
| Unspecified | 1 | 5% |
| Student > Bachelor | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 11 | 55% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 2 | 10% |
| Unspecified | 1 | 5% |
| Computer Science | 1 | 5% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Neuroscience | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 13 | 65% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 20 January 2021.
All research outputs
#4,284,015
of 23,274,744 outputs
Outputs from Frontiers in Neurology
#3,511
of 12,176 outputs
Outputs of similar age
#116,704
of 503,627 outputs
Outputs of similar age from Frontiers in Neurology
#377
of 565 outputs
Altmetric has tracked 23,274,744 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,176 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has gotten more attention than average, scoring higher than 69% 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 503,627 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 75% of its contemporaries.
We're also able to compare this research output to 565 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.