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Attention Score in Context
| Title |
Pepper EST database: comprehensive in silico tool for analyzing the chili pepper (Capsicum annuum) transcriptome
|
|---|---|
| Published in |
BMC Plant Biology, October 2008
|
| DOI | 10.1186/1471-2229-8-101 |
| Pubmed ID | |
| Authors |
Hyun-Jin Kim, Kwang-Hyun Baek, Seung-Won Lee, JungEun Kim, Bong-Woo Lee, Hye-Sun Cho, Woo Taek Kim, Doil Choi, Cheol-Goo Hur |
| Abstract |
There is no dedicated database available for Expressed Sequence Tags (EST) of the chili pepper (Capsicum annuum), although the interest in a chili pepper EST database is increasing internationally due to the nutritional, economic, and pharmaceutical value of the plant. Recent advances in high-throughput sequencing of the ESTs of chili pepper cv. Bukang have produced hundreds of thousands of complementary DNA (cDNA) sequences. Therefore, a chili pepper EST database was designed and constructed to enable comprehensive analysis of chili pepper gene expression in response to biotic and abiotic stresses. We built the Pepper EST database to mine the complexity of chili pepper ESTs. The database was built on 122,582 sequenced ESTs and 116,412 refined ESTs from 21 pepper EST libraries. The ESTs were clustered and assembled into virtual consensus cDNAs and the cDNAs were assigned to metabolic pathway, Gene Ontology (GO), and MIPS Functional Catalogue (FunCat). The Pepper EST database is designed to provide a workbench for (i) identifying unigenes in pepper plants, (ii) analyzing expression patterns in different developmental tissues and under conditions of stress, and (iii) comparing the ESTs with those of other members of the Solanaceae family. The Pepper EST database is freely available at http://genepool.kribb.re.kr/pepper/. The Pepper EST database is expected to provide a high-quality resource, which will contribute to gaining a systemic understanding of plant diseases and facilitate genetics-based population studies. The database is also expected to contribute to analysis of gene synteny as part of the chili pepper sequencing project by mapping ESTs to the genome. |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 3 | 4% |
| Spain | 2 | 2% |
| Norway | 1 | 1% |
| Brazil | 1 | 1% |
| Indonesia | 1 | 1% |
| South Africa | 1 | 1% |
| Malaysia | 1 | 1% |
| Japan | 1 | 1% |
| United States | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 69 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 22% |
| Researcher | 11 | 14% |
| Student > Master | 11 | 14% |
| Professor > Associate Professor | 8 | 10% |
| Student > Bachelor | 7 | 9% |
| Other | 16 | 20% |
| Unknown | 10 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 47 | 58% |
| Biochemistry, Genetics and Molecular Biology | 12 | 15% |
| Engineering | 4 | 5% |
| Computer Science | 3 | 4% |
| Medicine and Dentistry | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 13 | 16% |
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 26 August 2010.
All research outputs
#7,458,462
of 22,803,211 outputs
Outputs from BMC Plant Biology
#634
of 3,244 outputs
Outputs of similar age
#32,075
of 90,085 outputs
Outputs of similar age from BMC Plant Biology
#1
of 2 outputs
Altmetric has tracked 22,803,211 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 3,244 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done well, scoring higher than 75% 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 90,085 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them