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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Synergic silencing of costimulatory molecules prevents cardiac allograft rejection
|
|---|---|
| Published in |
Journal of Translational Medicine, May 2014
|
| DOI | 10.1186/1479-5876-12-142 |
| Pubmed ID | |
| Authors |
Xusheng Zhang, Yanling Liu, Guangfeng Zhang, Jun Shi, Xiao Zhang, Xiufen Zheng, Alex T Jiang, Zhu-Xu Zhang, Nathan Johnston, King Sun Siu, Ruiqi Chen, Dameng Lian, David Koos, Douglas Quan, Wei-Ping Min |
| Abstract |
While substantial progress has been made in blocking acute transplant rejection with the advent of immune suppressive drugs, chronic rejection, mediated primarily by recipient antigen presentation, remains a formidable problem in clinical transplantation. We hypothesized that blocking co-stimulatory pathways in the recipient by induction of RNA interference using small interference RNA (siRNA) expression vectors can prolong allogeneic heart graft survival. |
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 Kingdom | 1 | 33% |
| Canada | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 23% |
| Student > Master | 5 | 23% |
| Student > Ph. D. Student | 2 | 9% |
| Student > Bachelor | 2 | 9% |
| Unspecified | 1 | 5% |
| Other | 2 | 9% |
| Unknown | 5 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 14% |
| Biochemistry, Genetics and Molecular Biology | 2 | 9% |
| Environmental Science | 2 | 9% |
| Unspecified | 1 | 5% |
| Agricultural and Biological Sciences | 1 | 5% |
| Other | 4 | 18% |
| Unknown | 9 | 41% |
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 03 June 2014.
All research outputs
#13,176,295
of 22,756,196 outputs
Outputs from Journal of Translational Medicine
#1,518
of 3,978 outputs
Outputs of similar age
#108,051
of 226,264 outputs
Outputs of similar age from Journal of Translational Medicine
#21
of 68 outputs
Altmetric has tracked 22,756,196 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 3,978 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has gotten more attention than average, scoring higher than 60% 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 226,264 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 51% of its contemporaries.
We're also able to compare this research output to 68 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 69% of its contemporaries.