You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Attention Score in Context
| Title |
Massively parallel pyrosequencing-based transcriptome analyses of small brown planthopper (Laodelphax striatellus), a vector insect transmitting rice stripe virus (RSV)
|
|---|---|
| Published in |
BMC Genomics, May 2010
|
| DOI | 10.1186/1471-2164-11-303 |
| Pubmed ID | |
| Authors |
Fujie Zhang, Hongyan Guo, Huajun Zheng, Tong Zhou, Yijun Zhou, Shengyue Wang, Rongxiang Fang, Wei Qian, Xiaoying Chen |
| Abstract |
The small brown planthopper (Laodelphax striatellus) is an important agricultural pest that not only damages rice plants by sap-sucking, but also acts as a vector that transmits rice stripe virus (RSV), which can cause even more serious yield loss. Despite being a model organism for studying entomology, population biology, plant protection, molecular interactions among plants, viruses and insects, only a few genomic sequences are available for this species. To investigate its transcriptome and determine the differences between viruliferous and naïve L. striatellus, we employed 454-FLX high-throughput pyrosequencing to generate EST databases of this insect. |
Mendeley readers
The data shown below were compiled from readership statistics for 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | <1% |
| Netherlands | 1 | <1% |
| France | 1 | <1% |
| Austria | 1 | <1% |
| Brazil | 1 | <1% |
| Czechia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Argentina | 1 | <1% |
| Japan | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 111 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 33 | 27% |
| Researcher | 33 | 27% |
| Student > Master | 9 | 7% |
| Professor > Associate Professor | 6 | 5% |
| Professor | 5 | 4% |
| Other | 16 | 13% |
| Unknown | 19 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 77 | 64% |
| Biochemistry, Genetics and Molecular Biology | 8 | 7% |
| Social Sciences | 3 | 2% |
| Medicine and Dentistry | 3 | 2% |
| Engineering | 2 | 2% |
| Other | 6 | 5% |
| Unknown | 22 | 18% |
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 05 February 2013.
All research outputs
#7,453,827
of 22,787,797 outputs
Outputs from BMC Genomics
#3,597
of 10,647 outputs
Outputs of similar age
#34,270
of 95,075 outputs
Outputs of similar age from BMC Genomics
#16
of 46 outputs
Altmetric has tracked 22,787,797 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,647 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 59% 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 95,075 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.