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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Development of a prediction model on preeclampsia using machine learning-based method: a retrospective cohort study in China
|
|---|---|
| Published in |
Frontiers in Physiology, August 2022
|
| DOI | 10.3389/fphys.2022.896969 |
| Pubmed ID | |
| Authors |
Mengyuan Liu, Xiaofeng Yang, Guolu Chen, Yuzhen Ding, Meiting Shi, Lu Sun, Zhengrui Huang, Jia Liu, Tong Liu, Ruiling Yan, Ruiman Li |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 44 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Postgraduate | 3 | 7% |
| Student > Bachelor | 2 | 5% |
| Professor | 2 | 5% |
| Student > Master | 2 | 5% |
| Student > Ph. D. Student | 2 | 5% |
| Other | 3 | 7% |
| Unknown | 30 | 68% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 9% |
| Medicine and Dentistry | 4 | 9% |
| Nursing and Health Professions | 3 | 7% |
| Chemistry | 2 | 5% |
| Unknown | 31 | 70% |
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 12 August 2022.
All research outputs
#18,632,069
of 23,081,466 outputs
Outputs from Frontiers in Physiology
#8,260
of 13,821 outputs
Outputs of similar age
#299,043
of 432,295 outputs
Outputs of similar age from Frontiers in Physiology
#388
of 748 outputs
Altmetric has tracked 23,081,466 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 13,821 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 31st percentile – i.e., 31% 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 432,295 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 748 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.