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Mendeley readers
Attention Score in Context
| Title |
Development of novel genic microsatellite markers from transcriptome sequencing in sugar maple (Acer saccharum Marsh.)
|
|---|---|
| Published in |
BMC Research Notes, August 2017
|
| DOI | 10.1186/s13104-017-2653-2 |
| Pubmed ID | |
| Authors |
Monica Harmon, Thomas Lane, Margaret Staton, Mark V. Coggeshall, Teodora Best, Chien-Chih Chen, Haiying Liang, Nicole Zembower, Daniela I. Drautz-Moses, Yap Zhei Hwee, Stephan C. Schuster, Scott E. Schlarbaum, John E. Carlson, Oliver Gailing |
| Abstract |
Sugar maple (Acer saccharum Marsh.) is a hardwood tree species native to northeastern North America and economically valued for its wood and sap. Yet, few molecular genetic resources have been developed for this species to date. Microsatellite markers have been a useful tool in population genetics, e.g., to monitor genetic variation and to analyze gene flow patterns. The objective of this study is to develop a reference transcriptome and microsatellite markers in sugar maple. A set of 117,861 putative unique transcripts were assembled using 29.2 Gb of RNA sequencing data derived from different tissues and stress treatments. From this set of sequences a total of 1068 microsatellite motifs were identified. Out of 58 genic microsatellite markers tested on a population of 47 sugar maple trees in upper Michigan, 22 amplified well, of which 16 were polymorphic and 6 were monomorphic. Values for expected heterozygosity varied from 0.224 to 0.726 for individual loci. Of the 16 polymorphic markers, 15 exhibited transferability to other Acer L. species. Genic microsatellite markers can be applied to analyze genetic variation in potentially adaptive genes relative to genomic reference markers as a basis for the management of sugar maple genetic resources in the face of climate change. |
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 | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 29% |
| Student > Bachelor | 5 | 18% |
| Student > Master | 4 | 14% |
| Student > Ph. D. Student | 3 | 11% |
| Student > Doctoral Student | 2 | 7% |
| Other | 2 | 7% |
| Unknown | 4 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 10 | 36% |
| Biochemistry, Genetics and Molecular Biology | 5 | 18% |
| Environmental Science | 4 | 14% |
| Computer Science | 1 | 4% |
| Psychology | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 5 | 18% |
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 10 August 2017.
All research outputs
#18,567,744
of 22,997,544 outputs
Outputs from BMC Research Notes
#3,037
of 4,284 outputs
Outputs of similar age
#243,466
of 317,853 outputs
Outputs of similar age from BMC Research Notes
#100
of 156 outputs
Altmetric has tracked 22,997,544 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 4,284 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 16th percentile – i.e., 16% 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 317,853 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 156 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.