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Attention Score in Context
| Title |
Comparative transcriptomics and comprehensive marker resource development in mulberry
|
|---|---|
| Published in |
BMC Genomics, February 2016
|
| DOI | 10.1186/s12864-016-2417-8 |
| Pubmed ID | |
| Authors |
Bushra Saeed, Vinay K. Baranwal, Paramjit Khurana |
| Abstract |
High potential of Morus laevigata and Morus serrata has been proposed in the breeding programs for Morus sp. However, due to the lack of dense molecular markers this goal is still in its nascent stage and not yet realized. We thus, sequenced the transcriptomes of these two wild Morus species and utilized the data for marker development. We generated 87.0 and 80.3 Mb of transcriptome data from M. laevigata and M. serrata, respectively. The transcriptomes from M. laevigata and M. serrata, were assembled into 95,181 and 85,269 transcripts, respectively, and annotated. We identified around 24,049 Simple Sequence Repeats (SSRs), 1,201,326 Single Nucleotide Polymorphisms (SNPs) and 67,875 Insertion-Deletions (InDels). The variants having a higher impact were also identified and their effect was further investigated. The transcriptome resource from the wildly growing mulberry species developed in this study can find wide applicability in gene identification and/or characterization. It can also contribute immensely in the existing mulberry improvement programs. |
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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 20% |
| Researcher | 5 | 20% |
| Other | 3 | 12% |
| Student > Master | 3 | 12% |
| Student > Bachelor | 3 | 12% |
| Other | 2 | 8% |
| Unknown | 4 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 11 | 44% |
| Biochemistry, Genetics and Molecular Biology | 6 | 24% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 8% |
| Computer Science | 1 | 4% |
| Immunology and Microbiology | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 4 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 06 February 2016.
All research outputs
#15,356,841
of 22,844,985 outputs
Outputs from BMC Genomics
#6,695
of 10,655 outputs
Outputs of similar age
#233,632
of 397,006 outputs
Outputs of similar age from BMC Genomics
#198
of 269 outputs
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So far Altmetric has tracked 10,655 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
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We're also able to compare this research output to 269 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.