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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genome wide SNP identification in chickpea for use in development of a high density genetic map and improvement of chickpea reference genome assembly
|
|---|---|
| Published in |
BMC Genomics, August 2014
|
| DOI | 10.1186/1471-2164-15-708 |
| Pubmed ID | |
| Authors |
Amit A Deokar, Larissa Ramsay, Andrew G Sharpe, Marwan Diapari, Anoop Sindhu, Kirstin Bett, Thomas D Warkentin, Bunyamin Tar’an |
| Abstract |
In the whole genome sequencing, genetic map provides an essential framework for accurate and efficient genome assembly and validation. The main objectives of this study were to develop a high-density genetic map using RAD-Seq (Restriction-site Associated DNA Sequencing) genotyping-by-sequencing (RAD-Seq GBS) and Illumina GoldenGate assays, and to examine the alignment of the current map with the kabuli chickpea genome assembly. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Japan | 1 | 1% |
| Italy | 1 | 1% |
| Switzerland | 1 | 1% |
| Unknown | 90 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 25 | 26% |
| Researcher | 22 | 23% |
| Student > Master | 15 | 16% |
| Student > Doctoral Student | 9 | 9% |
| Student > Postgraduate | 5 | 5% |
| Other | 7 | 7% |
| Unknown | 12 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 67 | 71% |
| Biochemistry, Genetics and Molecular Biology | 6 | 6% |
| Computer Science | 2 | 2% |
| Immunology and Microbiology | 2 | 2% |
| Veterinary Science and Veterinary Medicine | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 16 | 17% |
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 13 May 2015.
All research outputs
#18,376,927
of 22,761,738 outputs
Outputs from BMC Genomics
#8,168
of 10,638 outputs
Outputs of similar age
#168,021
of 235,668 outputs
Outputs of similar age from BMC Genomics
#135
of 185 outputs
Altmetric has tracked 22,761,738 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,638 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% 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 235,668 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 185 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.