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Mendeley readers
Attention Score in Context
| Title |
Deep sequencing-based transcriptome profiling analysis of bacteria-challenged Lateolabrax japonicus reveals insight into the immune-relevant genes in marine fish
|
|---|---|
| Published in |
BMC Genomics, August 2010
|
| DOI | 10.1186/1471-2164-11-472 |
| Pubmed ID | |
| Authors |
Li-xin Xiang, Ding He, Wei-ren Dong, Yi-wen Zhang, Jian-zhong Shao |
| Abstract |
Systematic research on fish immunogenetics is indispensable in understanding the origin and evolution of immune systems. This has long been a challenging task because of the limited number of deep sequencing technologies and genome backgrounds of non-model fish available. The newly developed Solexa/Illumina RNA-seq and Digital gene expression (DGE) are high-throughput sequencing approaches and are powerful tools for genomic studies at the transcriptome level. This study reports the transcriptome profiling analysis of bacteria-challenged Lateolabrax japonicus using RNA-seq and DGE in an attempt to gain insights into the immunogenetics of marine fish. |
Mendeley readers
The data shown below were compiled from readership statistics for 180 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 3% |
| Sweden | 2 | 1% |
| French Polynesia | 1 | <1% |
| Malaysia | 1 | <1% |
| New Caledonia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Vietnam | 1 | <1% |
| Belgium | 1 | <1% |
| Mexico | 1 | <1% |
| Other | 2 | 1% |
| Unknown | 164 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 59 | 33% |
| Researcher | 39 | 22% |
| Student > Master | 22 | 12% |
| Student > Doctoral Student | 13 | 7% |
| Professor > Associate Professor | 8 | 4% |
| Other | 22 | 12% |
| Unknown | 17 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 113 | 63% |
| Biochemistry, Genetics and Molecular Biology | 19 | 11% |
| Environmental Science | 7 | 4% |
| Immunology and Microbiology | 6 | 3% |
| Medicine and Dentistry | 4 | 2% |
| Other | 9 | 5% |
| Unknown | 22 | 12% |
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 27 January 2013.
All research outputs
#20,180,477
of 22,694,633 outputs
Outputs from BMC Genomics
#9,242
of 10,616 outputs
Outputs of similar age
#89,420
of 94,090 outputs
Outputs of similar age from BMC Genomics
#22
of 22 outputs
Altmetric has tracked 22,694,633 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 10,616 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 94,090 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 22 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.