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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Usefulness of Random Forest Algorithm in Predicting Severe Acute Pancreatitis
|
|---|---|
| Published in |
Frontiers in Cellular and Infection Microbiology, June 2022
|
| DOI | 10.3389/fcimb.2022.893294 |
| Pubmed ID | |
| Authors |
Wandong Hong, Yajing Lu, Xiaoying Zhou, Shengchun Jin, Jingyi Pan, Qingyi Lin, Shaopeng Yang, Zarrin Basharat, Maddalena Zippi, Hemant Goyal |
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 % |
|---|---|---|
| Switzerland | 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 18% |
| Student > Ph. D. Student | 2 | 12% |
| Student > Master | 2 | 12% |
| Lecturer | 1 | 6% |
| Unspecified | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 7 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 18% |
| Nursing and Health Professions | 2 | 12% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Business, Management and Accounting | 1 | 6% |
| Unspecified | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 9 | 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 10 June 2022.
All research outputs
#22,823,736
of 25,443,857 outputs
Outputs from Frontiers in Cellular and Infection Microbiology
#7,652
of 8,110 outputs
Outputs of similar age
#380,687
of 447,967 outputs
Outputs of similar age from Frontiers in Cellular and Infection Microbiology
#570
of 578 outputs
Altmetric has tracked 25,443,857 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 8,110 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. 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 447,967 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 578 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.