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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Cost-Effectiveness Analysis of HLA-B*5801 Testing in Preventing Allopurinol-Induced SJS/TEN in Thai Population
|
|---|---|
| Published in |
PLOS ONE, April 2014
|
| DOI | 10.1371/journal.pone.0094294 |
| Pubmed ID | |
| Authors |
Surasak Saokaew, Wichittra Tassaneeyakul, Ratree Maenthaisong, Nathorn Chaiyakunapruk |
| Abstract |
Stevens-Johnson syndrome (SJS) and Toxic Epidermal Necrolysis (TEN), caused by allopurinol therapy, are strongly associated with the human leukocyte antigen (HLA), HLA-B*5801. Identification of HLA-B*5801 genotype before prescribing allopurinol offers the possibility of avoiding allopurinol-induced SJS/TEN. As there is a paucity of evidence about economic value of such testing, this study aims to determine the cost-effectiveness of HLA-B*5801 testing compared with usual care (no genetic testing) before allopurinol administration in Thailand. |
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 % |
|---|---|---|
| Malaysia | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| Hungary | 1 | 1% |
| India | 1 | 1% |
| Unknown | 88 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 19% |
| Lecturer | 9 | 10% |
| Student > Ph. D. Student | 9 | 10% |
| Student > Master | 9 | 10% |
| Student > Bachelor | 7 | 8% |
| Other | 20 | 22% |
| Unknown | 20 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 28 | 31% |
| Pharmacology, Toxicology and Pharmaceutical Science | 7 | 8% |
| Biochemistry, Genetics and Molecular Biology | 6 | 7% |
| Agricultural and Biological Sciences | 5 | 5% |
| Nursing and Health Professions | 4 | 4% |
| Other | 17 | 19% |
| Unknown | 24 | 26% |
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 19 July 2020.
All research outputs
#13,407,734
of 22,753,345 outputs
Outputs from PLOS ONE
#106,947
of 194,177 outputs
Outputs of similar age
#111,749
of 226,967 outputs
Outputs of similar age from PLOS ONE
#2,612
of 5,111 outputs
Altmetric has tracked 22,753,345 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 194,177 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one is in the 42nd percentile – i.e., 42% 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 226,967 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5,111 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.