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 |
Deep sequencing of the Camellia sinensis transcriptome revealed candidate genes for major metabolic pathways of tea-specific compounds
|
|---|---|
| Published in |
BMC Genomics, February 2011
|
| DOI | 10.1186/1471-2164-12-131 |
| Pubmed ID | |
| Authors |
Cheng-Ying Shi, Hua Yang, Chao-Ling Wei, Oliver Yu, Zheng-Zhu Zhang, Chang-Jun Jiang, Jun Sun, Ye-Yun Li, Qi Chen, Tao Xia, Xiao-Chun Wan |
Mendeley readers
The data shown below were compiled from readership statistics for 294 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 4 | 1% |
| United Kingdom | 4 | 1% |
| India | 3 | 1% |
| Germany | 2 | <1% |
| United States | 2 | <1% |
| Japan | 2 | <1% |
| Italy | 2 | <1% |
| Sweden | 1 | <1% |
| Malaysia | 1 | <1% |
| Other | 11 | 4% |
| Unknown | 262 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 84 | 29% |
| Researcher | 77 | 26% |
| Student > Master | 21 | 7% |
| Professor > Associate Professor | 20 | 7% |
| Student > Postgraduate | 15 | 5% |
| Other | 49 | 17% |
| Unknown | 28 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 194 | 66% |
| Biochemistry, Genetics and Molecular Biology | 35 | 12% |
| Chemistry | 7 | 2% |
| Computer Science | 4 | 1% |
| Social Sciences | 3 | 1% |
| Other | 10 | 3% |
| Unknown | 41 | 14% |
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 28 June 2023.
All research outputs
#8,367,061
of 25,002,811 outputs
Outputs from BMC Genomics
#3,858
of 11,136 outputs
Outputs of similar age
#41,923
of 113,890 outputs
Outputs of similar age from BMC Genomics
#22
of 59 outputs
Altmetric has tracked 25,002,811 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,136 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 58% 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 113,890 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.