| Title |
Predicting mortality in critically ill patients with diabetes using machine learning and clinical notes
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, December 2020
|
| DOI | 10.1186/s12911-020-01318-4 |
| Pubmed ID | |
| Authors |
Jiancheng Ye, Liang Yao, Jiahong Shen, Rethavathi Janarthanam, Yuan Luo |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 50% |
| France | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 147 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 147 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 14% |
| Researcher | 17 | 12% |
| Student > Master | 16 | 11% |
| Student > Doctoral Student | 10 | 7% |
| Student > Postgraduate | 6 | 4% |
| Other | 21 | 14% |
| Unknown | 57 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 25 | 17% |
| Engineering | 13 | 9% |
| Medicine and Dentistry | 8 | 5% |
| Nursing and Health Professions | 5 | 3% |
| Business, Management and Accounting | 4 | 3% |
| Other | 23 | 16% |
| Unknown | 69 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 08 January 2021.
All research outputs
#15,799,206
of 25,457,858 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,146
of 2,143 outputs
Outputs of similar age
#281,846
of 520,257 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#28
of 59 outputs
Altmetric has tracked 25,457,858 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,143 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 45th percentile – i.e., 45% 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 520,257 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.