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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine learning model identifies aggressive acute pancreatitis within 48 h of admission: a large retrospective study
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, November 2022
|
| DOI | 10.1186/s12911-022-02066-3 |
| Pubmed ID | |
| Authors |
Lei Yuan, Mengyao Ji, Shuo Wang, Xinyu Wen, Pingxiao Huang, Lei Shen, Jun Xu |
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 % |
|---|---|---|
| Italy | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 27% |
| Librarian | 1 | 9% |
| Student > Postgraduate | 1 | 9% |
| Student > Doctoral Student | 1 | 9% |
| Unknown | 5 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 27% |
| Nursing and Health Professions | 1 | 9% |
| Unknown | 7 | 64% |
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 30 November 2022.
All research outputs
#15,617,824
of 23,221,875 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,335
of 2,019 outputs
Outputs of similar age
#234,814
of 439,684 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#17
of 41 outputs
Altmetric has tracked 23,221,875 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,019 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 24th percentile – i.e., 24% 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 439,684 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.