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Mendeley readers
Attention Score in Context
| Title |
Comprehensive analysis of RNA-seq data reveals the complexity of the transcriptome in Brassica rapa
|
|---|---|
| Published in |
BMC Genomics, October 2013
|
| DOI | 10.1186/1471-2164-14-689 |
| Pubmed ID | |
| Authors |
Chaobo Tong, Xiaowu Wang, Jingyin Yu, Jian Wu, Wanshun Li, Junyan Huang, Caihua Dong, Wei Hua, Shengyi Liu |
| Abstract |
The species Brassica rapa (2n=20, AA) is an important vegetable and oilseed crop, and serves as an excellent model for genomic and evolutionary research in Brassica species. With the availability of whole genome sequence of B. rapa, it is essential to further determine the activity of all functional elements of the B. rapa genome and explore the transcriptome on a genome-wide scale. Here, RNA-seq data was employed to provide a genome-wide transcriptional landscape and characterization of the annotated and novel transcripts and alternative splicing events across tissues. |
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 % |
|---|---|---|
| France | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Netherlands | 1 | <1% |
| Malaysia | 1 | <1% |
| China | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 110 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 19% |
| Researcher | 22 | 19% |
| Student > Master | 16 | 14% |
| Professor > Associate Professor | 11 | 9% |
| Student > Bachelor | 7 | 6% |
| Other | 13 | 11% |
| Unknown | 25 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 63 | 54% |
| Biochemistry, Genetics and Molecular Biology | 20 | 17% |
| Linguistics | 1 | <1% |
| Environmental Science | 1 | <1% |
| Computer Science | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 29 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 23 October 2013.
All research outputs
#14,762,521
of 22,725,280 outputs
Outputs from BMC Genomics
#6,116
of 10,628 outputs
Outputs of similar age
#124,078
of 209,115 outputs
Outputs of similar age from BMC Genomics
#60
of 151 outputs
Altmetric has tracked 22,725,280 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,628 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 37th percentile – i.e., 37% 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 209,115 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 151 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 56% of its contemporaries.