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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Development of clinical decision rules to predict recurrent shock in dengue
|
|---|---|
| Published in |
Critical Care, December 2013
|
| DOI | 10.1186/cc13135 |
| Pubmed ID | |
| Authors |
Nguyen Tien Huy, Nguyen Thanh Hong Thao, Tran Thi Ngoc Ha, Nguyen Thi Phuong Lan, Phan Thi Thanh Nga, Tran Thi Thuy, Ha Manh Tuan, Cao Thi Phi Nga, Vo Van Tuong, Tran Van Dat, Vu Thi Que Huong, Juntra Karbwang, Kenji Hirayama |
| Abstract |
Mortality from dengue infection is mostly due to shock. Among dengue patients with shock, approximately 30% have recurrent shock that requires a treatment change. Here, we report development of a clinical rule for use during a patient's first shock episode to predict a recurrent shock episode. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 40% |
| Canada | 1 | 20% |
| Malaysia | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 1 | 20% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 2% |
| Vietnam | 1 | 1% |
| South Africa | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 81 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 22% |
| Student > Ph. D. Student | 13 | 15% |
| Student > Bachelor | 12 | 14% |
| Student > Master | 11 | 13% |
| Other | 7 | 8% |
| Other | 15 | 17% |
| Unknown | 9 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 40 | 47% |
| Agricultural and Biological Sciences | 12 | 14% |
| Biochemistry, Genetics and Molecular Biology | 3 | 3% |
| Nursing and Health Professions | 2 | 2% |
| Computer Science | 2 | 2% |
| Other | 13 | 15% |
| Unknown | 14 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 27 January 2014.
All research outputs
#14,278,028
of 25,374,917 outputs
Outputs from Critical Care
#4,723
of 6,554 outputs
Outputs of similar age
#170,363
of 320,941 outputs
Outputs of similar age from Critical Care
#58
of 99 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,554 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.8. This one is in the 27th percentile – i.e., 27% 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 320,941 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 99 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.