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X Demographics
Mendeley readers
Attention Score in Context
| Title |
T-bet expression in CD8+ T cells associated with chronic hepatitis B virus infection
|
|---|---|
| Published in |
Virology Journal, January 2016
|
| DOI | 10.1186/s12985-016-0473-y |
| Pubmed ID | |
| Authors |
Rongshan Fan, Yinghua Lan, Jiwang Chen, Yanxin Huang, Qin Yan, Lisheng Jiang, Shupeng Song, Yongguo Li |
| Abstract |
The mechanisms leading to virus-specific CD8+ T cell dysfuction in chronic hepatitis B virus (HBV) infection remain to be elucidated. Our study focused on the role of transcription factor T-bet in HBV infection because it is a crucial regulator of T cell immunity. We assessed the expression of T-bet along with PD-1, IFN-γ and perforin, in HBV-specific CD8+ T cells from resolved acute hepatitis B (rAHB) patients, chronic hepatitis B (CHB) patients, as well as asymptomatic HBV carriers (ASCs). We observed dynamic changes of T-bet, PD-1, IFN-γ and perforin in acute stage and recovery stage of acute hepatitis B (AHB). Comparing with other cohorts, HBV-specific CD8+ T cells from rAHB demonstrated a superior ability in T-bet, IFN-γ and perforin expression, but an inferior ability in PD-1 expression. In the CHB group, the level of T-bet has a linear relationship with the level of PD-1, IFN-γ and HBV DNA, respectively. A lower expression of T-bet and PD-1 was observed in ASCs when compared with CHB. A higher expression of T-bet, PD-1, IFN-r and perforin was observed in acute stage when compared with the recovery stage of AHB. Our results suggest that expression of T-bet may influence the function of HBV-specific CD8+ T cells and thus can be an attractive target for modulation to improve HBV-specific immunity in CHB. |
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 % |
|---|---|---|
| United States | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 33% |
| Student > Ph. D. Student | 4 | 19% |
| Researcher | 3 | 14% |
| Student > Bachelor | 2 | 10% |
| Student > Doctoral Student | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 3 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 38% |
| Immunology and Microbiology | 6 | 29% |
| Biochemistry, Genetics and Molecular Biology | 2 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
| Agricultural and Biological Sciences | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 3 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 31 January 2016.
All research outputs
#13,220,363
of 22,840,638 outputs
Outputs from Virology Journal
#1,292
of 3,046 outputs
Outputs of similar age
#186,111
of 396,496 outputs
Outputs of similar age from Virology Journal
#17
of 44 outputs
Altmetric has tracked 22,840,638 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,046 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.8. This one has gotten more attention than average, scoring higher than 56% 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 396,496 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 52% of its contemporaries.
We're also able to compare this research output to 44 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 59% of its contemporaries.