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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Risk factor identification and prediction models for prolonged length of stay in hospital after acute ischemic stroke using artificial neural networks
|
|---|---|
| Published in |
Frontiers in Neurology, February 2023
|
| DOI | 10.3389/fneur.2023.1085178 |
| Pubmed ID | |
| Authors |
Cheng-Chang Yang, Oluwaseun Adebayo Bamodu, Lung Chan, Jia-Hung Chen, Chien-Tai Hong, Yi-Ting Huang, Chen-Chih Chung |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 3 | 13% |
| Student > Bachelor | 3 | 13% |
| Student > Master | 2 | 9% |
| Researcher | 2 | 9% |
| Student > Ph. D. Student | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 10 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 17% |
| Nursing and Health Professions | 4 | 17% |
| Environmental Science | 1 | 4% |
| Business, Management and Accounting | 1 | 4% |
| Agricultural and Biological Sciences | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 11 | 48% |
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 27 February 2023.
All research outputs
#18,603,956
of 23,866,543 outputs
Outputs from Frontiers in Neurology
#7,509
of 12,780 outputs
Outputs of similar age
#287,972
of 442,832 outputs
Outputs of similar age from Frontiers in Neurology
#291
of 676 outputs
Altmetric has tracked 23,866,543 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,780 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one is in the 35th percentile – i.e., 35% 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 442,832 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 676 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.