| Title |
Development and validation of three machine-learning models for predicting multiple organ failure in moderately severe and severe acute pancreatitis
|
|---|---|
| Published in |
BMC Gastroenterology, July 2019
|
| DOI | 10.1186/s12876-019-1016-y |
| Pubmed ID | |
| Authors |
Qiu Qiu, Yong-jian Nian, Yan Guo, Liang Tang, Nan Lu, Liang-zhi Wen, Bin Wang, Dong-feng Chen, Kai-jun Liu |
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 % |
|---|---|---|
| Spain | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 48 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 15% |
| Researcher | 5 | 10% |
| Student > Bachelor | 5 | 10% |
| Student > Postgraduate | 4 | 8% |
| Student > Doctoral Student | 3 | 6% |
| Other | 3 | 6% |
| Unknown | 21 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 33% |
| Biochemistry, Genetics and Molecular Biology | 3 | 6% |
| Computer Science | 3 | 6% |
| Engineering | 2 | 4% |
| Business, Management and Accounting | 2 | 4% |
| Other | 2 | 4% |
| Unknown | 20 | 42% |
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 09 July 2019.
All research outputs
#18,616,159
of 23,881,329 outputs
Outputs from BMC Gastroenterology
#1,096
of 1,833 outputs
Outputs of similar age
#246,951
of 350,571 outputs
Outputs of similar age from BMC Gastroenterology
#18
of 26 outputs
Altmetric has tracked 23,881,329 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 1,833 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. 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 350,571 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.