| Title |
Risk factors for mortality in Asian Taiwanese patients with methanol poisoning
|
|---|---|
| Published in |
Therapeutics and Clinical Risk Management, January 2014
|
| DOI | 10.2147/tcrm.s51985 |
| Pubmed ID | |
| Authors |
Chen-Yen Lee, Eileen Kevyn Chang, Ja-Liang Lin, Cheng-Hao Weng, Shen-Yang Lee, Kuo-Chang Juan, Huang-Yu Yang, Chemin Lin, Shwu-Hua Lee, I-Kwan Wang, Tzung-Hai Yen |
| Abstract |
Methanol poisoning continues to be a serious public health issue in Taiwan, but very little work has been done to study the outcomes of methanol toxicity in the Asian population. In this study, we examined the value of multiple clinical variables in predicting mortality after methanol exposure. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 41 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 6 | 15% |
| Student > Ph. D. Student | 4 | 10% |
| Researcher | 4 | 10% |
| Student > Bachelor | 4 | 10% |
| Student > Master | 4 | 10% |
| Other | 9 | 22% |
| Unknown | 10 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 37% |
| Nursing and Health Professions | 3 | 7% |
| Neuroscience | 2 | 5% |
| Engineering | 2 | 5% |
| Agricultural and Biological Sciences | 2 | 5% |
| Other | 8 | 20% |
| Unknown | 9 | 22% |
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 12 February 2014.
All research outputs
#16,188,873
of 25,584,565 outputs
Outputs from Therapeutics and Clinical Risk Management
#729
of 1,308 outputs
Outputs of similar age
#187,891
of 320,237 outputs
Outputs of similar age from Therapeutics and Clinical Risk Management
#9
of 22 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,308 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one is in the 40th percentile – i.e., 40% 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 320,237 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 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 63% of its contemporaries.