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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Characterization of the sesame (Sesamum indicum L.) global transcriptome using Illumina paired-end sequencing and development of EST-SSR markers
|
|---|---|
| Published in |
BMC Genomics, September 2011
|
| DOI | 10.1186/1471-2164-12-451 |
| Pubmed ID | |
| Authors |
Wenliang Wei, Xiaoqiong Qi, Linhai Wang, Yanxin Zhang, Wei Hua, Donghua Li, Haixia Lv, Xiurong Zhang |
| Abstract |
Sesame is an important oil crop, but limited transcriptomic and genomic data are currently available. This information is essential to clarify the fatty acid and lignan biosynthesis molecular mechanism. In addition, a shortage of sesame molecular markers limits the efficiency and accuracy of genetic breeding. High-throughput transcriptomic sequencing is essential to generate a large transcriptome sequence dataset for gene discovery and molecular marker development. |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 240 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 3 | 1% |
| Brazil | 3 | 1% |
| United Kingdom | 2 | <1% |
| Austria | 1 | <1% |
| Italy | 1 | <1% |
| Colombia | 1 | <1% |
| Paraguay | 1 | <1% |
| France | 1 | <1% |
| Spain | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 225 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 60 | 25% |
| Researcher | 51 | 21% |
| Student > Master | 28 | 12% |
| Student > Doctoral Student | 16 | 7% |
| Student > Bachelor | 13 | 5% |
| Other | 30 | 13% |
| Unknown | 42 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 138 | 57% |
| Biochemistry, Genetics and Molecular Biology | 28 | 12% |
| Immunology and Microbiology | 3 | 1% |
| Computer Science | 2 | <1% |
| Business, Management and Accounting | 2 | <1% |
| Other | 16 | 7% |
| Unknown | 51 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 April 2022.
All research outputs
#7,034,523
of 23,023,224 outputs
Outputs from BMC Genomics
#3,248
of 10,699 outputs
Outputs of similar age
#41,169
of 131,289 outputs
Outputs of similar age from BMC Genomics
#31
of 93 outputs
Altmetric has tracked 23,023,224 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 10,699 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 68% 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 131,289 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 93 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 66% of its contemporaries.