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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Plasma nuclear and mitochondrial DNA levels as predictors of outcome in severe sepsis patients in the emergency room
|
|---|---|
| Published in |
Journal of Translational Medicine, June 2012
|
| DOI | 10.1186/1479-5876-10-130 |
| Pubmed ID | |
| Authors |
Chia-Te Kung, Sheng-Yuan Hsiao, Tsung-Cheng Tsai, Chih-Min Su, Wen-Neng Chang, Chi-Ren Huang, Hung-Chen Wang, Wei-Che Lin, Hsueh-Wen Chang, Yu-Jun Lin, Ben-Chung Cheng, Ben Yu-Jih Su, Nai-Wen Tsai, Cheng-Hsien Lu |
| Abstract |
The sensitivity and specificity of biomarkers and scoring systems used for predicting fatality of severe sepsis patients remain unsatisfactory. This study aimed to determine the prognostic value of circulating plasma DNA levels in severe septic patients presenting at the Emergency Department (ED). |
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 % |
|---|---|---|
| United States | 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 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Unknown | 83 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 17% |
| Professor > Associate Professor | 9 | 11% |
| Researcher | 8 | 10% |
| Student > Master | 8 | 10% |
| Student > Bachelor | 8 | 10% |
| Other | 19 | 23% |
| Unknown | 18 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 31 | 37% |
| Biochemistry, Genetics and Molecular Biology | 15 | 18% |
| Agricultural and Biological Sciences | 5 | 6% |
| Immunology and Microbiology | 4 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 4% |
| Other | 5 | 6% |
| Unknown | 21 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 04 December 2014.
All research outputs
#6,379,413
of 22,669,724 outputs
Outputs from Journal of Translational Medicine
#977
of 3,954 outputs
Outputs of similar age
#44,896
of 164,032 outputs
Outputs of similar age from Journal of Translational Medicine
#17
of 67 outputs
Altmetric has tracked 22,669,724 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 3,954 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has gotten more attention than average, scoring higher than 73% of its peers.
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 164,032 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 67 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 74% of its contemporaries.