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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Dynamic analysis of Th1/Th2 cytokine concentration during antiretroviral therapy of HIV-1/HCV co-infected Patients
|
|---|---|
| Published in |
BMC Infectious Diseases, April 2012
|
| DOI | 10.1186/1471-2334-12-102 |
| Pubmed ID | |
| Authors |
Wenzhen Kang, Yuan Li, Yan Zhuang, Ke Zhao, Dedong Huang, Yongtao Sun |
| Abstract |
Co-infection with hepatitis C (HCV) is very common in human immunodeficiency virus 1 (HIV-1) infected patients. Although HIV co-infection clearly accelerates progression of HCV-related fibrosis and liver disease, controversy remains as to the impact of HCV on HIV disease progression in co-infected patients. HIV can cause immune dysfunction, in which the regulatory function of T helper (Th) cells is very essential. Moreover, cytokines derived from Th cells play a prominent role in viral infection. Investigating the functional changes of Th1 and Th2 cells in cytokine level can improve the understanding of the effect of co-infected HCV on HIV infection. |
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 % |
|---|---|---|
| United States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Egypt | 1 | 2% |
| Unknown | 41 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 26% |
| Student > Master | 8 | 19% |
| Student > Ph. D. Student | 6 | 14% |
| Professor > Associate Professor | 4 | 9% |
| Other | 4 | 9% |
| Other | 6 | 14% |
| Unknown | 4 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 23% |
| Immunology and Microbiology | 7 | 16% |
| Agricultural and Biological Sciences | 7 | 16% |
| Biochemistry, Genetics and Molecular Biology | 4 | 9% |
| Chemistry | 3 | 7% |
| Other | 6 | 14% |
| Unknown | 6 | 14% |
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 14 May 2012.
All research outputs
#14,725,727
of 22,664,644 outputs
Outputs from BMC Infectious Diseases
#4,045
of 7,636 outputs
Outputs of similar age
#101,142
of 163,313 outputs
Outputs of similar age from BMC Infectious Diseases
#50
of 97 outputs
Altmetric has tracked 22,664,644 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,636 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. 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 163,313 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 97 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.