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Mendeley readers
Attention Score in Context
| Title |
RNA-seq liver transcriptome analysis reveals an activated MHC-I pathway and an inhibited MHC-II pathway at the early stage of vaccine immunization in zebrafish
|
|---|---|
| Published in |
BMC Genomics, July 2012
|
| DOI | 10.1186/1471-2164-13-319 |
| Pubmed ID | |
| Authors |
Dahai Yang, Qin Liu, Minjun Yang, Haizhen Wu, Qiyao Wang, Jingfan Xiao, Yuanxing Zhang |
| Abstract |
Zebrafish (Danio rerio) is a prominent vertebrate model of human development and pathogenic disease and has recently been utilized to study teleost immune responses to infectious agents threatening the aquaculture industry. In this work, to clarify the host immune mechanisms underlying the protective effects of a putative vaccine and improve its immunogenicity in the future efforts, high-throughput RNA sequencing technology was used to investigate the immunization-related gene expression patterns of zebrafish immunized with Edwardsiella tarda live attenuated vaccine. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Chile | 1 | <1% |
| Australia | 1 | <1% |
| South Africa | 1 | <1% |
| Finland | 1 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 96 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 26 | 26% |
| Researcher | 23 | 23% |
| Student > Master | 21 | 21% |
| Student > Doctoral Student | 6 | 6% |
| Unspecified | 4 | 4% |
| Other | 10 | 10% |
| Unknown | 11 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 46 | 46% |
| Biochemistry, Genetics and Molecular Biology | 12 | 12% |
| Medicine and Dentistry | 5 | 5% |
| Unspecified | 4 | 4% |
| Immunology and Microbiology | 4 | 4% |
| Other | 12 | 12% |
| Unknown | 18 | 18% |
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 17 July 2012.
All research outputs
#20,161,674
of 22,671,366 outputs
Outputs from BMC Genomics
#9,240
of 10,614 outputs
Outputs of similar age
#128,829
of 143,552 outputs
Outputs of similar age from BMC Genomics
#100
of 115 outputs
Altmetric has tracked 22,671,366 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 10,614 research outputs from this source. They receive a mean Attention Score of 4.7. 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 143,552 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 115 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.