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Mendeley readers
Attention Score in Context
| Title |
Identifying potential RNAi targets in grain aphid (Sitobion avenae F.) based on transcriptome profiling of its alimentary canal after feeding on wheat plants
|
|---|---|
| Published in |
BMC Genomics, August 2013
|
| DOI | 10.1186/1471-2164-14-560 |
| Pubmed ID | |
| Authors |
Min Zhang, Yuwen Zhou, Hui Wang, Huw Dylan Jones, Qiang Gao, Dahai Wang, Youzhi Ma, Lanqin Xia |
| Abstract |
The grain aphid (Sitobion avenae F.) is a major agricultural pest which causes significant yield losses of wheat in China, Europe and North America annually. Transcriptome profiling of the grain aphid alimentary canal after feeding on wheat plants could provide comprehensive gene expression information involved in feeding, ingestion and digestion. Furthermore, selection of aphid-specific RNAi target genes would be essential for utilizing a plant-mediated RNAi strategy to control aphids via a non-toxic mode of action. However, due to the tiny size of the alimentary canal and lack of genomic information on grain aphid as a whole, selection of the RNAi targets is a challenging task that as far as we are aware, has never been documented previously. |
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 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | <1% |
| France | 1 | <1% |
| Slovenia | 1 | <1% |
| Unknown | 114 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 26 | 22% |
| Researcher | 21 | 18% |
| Student > Master | 11 | 9% |
| Student > Doctoral Student | 10 | 9% |
| Student > Bachelor | 9 | 8% |
| Other | 27 | 23% |
| Unknown | 13 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 75 | 64% |
| Biochemistry, Genetics and Molecular Biology | 16 | 14% |
| Nursing and Health Professions | 2 | 2% |
| Engineering | 2 | 2% |
| Immunology and Microbiology | 1 | <1% |
| Other | 3 | 3% |
| Unknown | 18 | 15% |
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 16 August 2013.
All research outputs
#20,198,525
of 22,716,996 outputs
Outputs from BMC Genomics
#9,250
of 10,626 outputs
Outputs of similar age
#153,711
of 175,522 outputs
Outputs of similar age from BMC Genomics
#114
of 134 outputs
Altmetric has tracked 22,716,996 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 10,626 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 175,522 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 134 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.