The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Mendeley readers
Attention Score in Context
| Title |
Supervised machine learning algorithms to predict the duration and risk of long-term hospitalization in HIV-infected individuals: a retrospective study
|
|---|---|
| Published in |
Frontiers in Public Health, January 2024
|
| DOI | 10.3389/fpubh.2023.1282324 |
| Pubmed ID | |
| Authors |
Jialu Li, Yiwei Hao, Ying Liu, Liang Wu, Hongyuan Liang, Liang Ni, Fang Wang, Sa Wang, Yujiao Duan, Qiuhua Xu, Jinjing Xiao, Di Yang, Guiju Gao, Yi Ding, Chengyu Gao, Jiang Xiao, Hongxin Zhao |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 3 | 27% |
| Student > Master | 2 | 18% |
| Unknown | 6 | 55% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 3 | 27% |
| Computer Science | 1 | 9% |
| Unknown | 7 | 64% |
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 23 January 2024.
All research outputs
#4,778,977
of 25,216,325 outputs
Outputs from Frontiers in Public Health
#2,104
of 13,714 outputs
Outputs of similar age
#42,859
of 224,923 outputs
Outputs of similar age from Frontiers in Public Health
#25
of 516 outputs
Altmetric has tracked 25,216,325 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,714 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one has done well, scoring higher than 84% 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 224,923 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 79% of its contemporaries.
We're also able to compare this research output to 516 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.