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Mendeley readers
Attention Score in Context
| Title |
Comparison of acute versus convalescent stage high-sensitivity C-Reactive protein level in predicting clinical outcome after acute ischemic stroke and impact of erythropoietin
|
|---|---|
| Published in |
Journal of Translational Medicine, January 2012
|
| DOI | 10.1186/1479-5876-10-6 |
| Pubmed ID | |
| Authors |
Kuo-Ho Yeh, Tzu-Hsien Tsai, Han-Tan Chai, Steve Leu, Sheng-Ying Chung, Sarah Chua, Yung-Lung Chen, Hung-Sheng Lin, Chun-Man Yuen, Hon-Kan Yip |
| Abstract |
Currently, no data on the optimal time point after acute ischemic stroke (IS) at which high-sensitivity C-reactive protein (hs-CRP) level is most predictive of unfavorable outcome. We tested the hypothesis that hs-CRP levels during both acute (48 h after IS) and convalescent (21 days after IS) phases are equally important in predicting 90-day clinical outcome after acute IS. We further evaluated the impact of erythropoietin (EPO), an anti-inflammatory agent, on level of hs-CRP after acute IS. |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | 3% |
| Unknown | 34 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 20% |
| Student > Bachelor | 7 | 20% |
| Student > Ph. D. Student | 5 | 14% |
| Student > Master | 4 | 11% |
| Student > Doctoral Student | 1 | 3% |
| Other | 5 | 14% |
| Unknown | 6 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 51% |
| Agricultural and Biological Sciences | 2 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Nursing and Health Professions | 1 | 3% |
| Immunology and Microbiology | 1 | 3% |
| Other | 5 | 14% |
| Unknown | 7 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 30 January 2012.
All research outputs
#20,165,369
of 22,675,759 outputs
Outputs from Journal of Translational Medicine
#3,290
of 3,958 outputs
Outputs of similar age
#220,512
of 243,440 outputs
Outputs of similar age from Journal of Translational Medicine
#55
of 58 outputs
Altmetric has tracked 22,675,759 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,958 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 1st percentile – i.e., 1% 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 243,440 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.