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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Development and characterization of highly polymorphic long TC repeat microsatellite markers for genetic analysis of peanut
|
|---|---|
| Published in |
BMC Research Notes, February 2012
|
| DOI | 10.1186/1756-0500-5-86 |
| Pubmed ID | |
| Authors |
Selma E Macedo, Márcio C Moretzsohn, Soraya C M Leal-Bertioli, Dione MT Alves, Ediene G Gouvea, Vânia CR Azevedo, David J Bertioli |
| Abstract |
Peanut (Arachis hypogaea L.) is a crop of economic and social importance, mainly in tropical areas, and developing countries. Its molecular breeding has been hindered by a shortage of polymorphic genetic markers due to a very narrow genetic base. Microsatellites (SSRs) are markers of choice in peanut because they are co-dominant, highly transferrable between species and easily applicable in the allotetraploid genome. In spite of substantial effort over the last few years by a number of research groups, the number of SSRs that are polymorphic for A. hypogaea is still limiting for routine application, creating the demand for the discovery of more markers polymorphic within cultivated germplasm. |
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 % |
|---|---|---|
| Hong Kong | 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 27% |
| Student > Ph. D. Student | 8 | 27% |
| Student > Doctoral Student | 5 | 17% |
| Lecturer | 1 | 3% |
| Other | 1 | 3% |
| Other | 4 | 13% |
| Unknown | 3 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 17 | 57% |
| Biochemistry, Genetics and Molecular Biology | 4 | 13% |
| Medicine and Dentistry | 2 | 7% |
| Economics, Econometrics and Finance | 1 | 3% |
| Computer Science | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 3 | 10% |
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 16 March 2012.
All research outputs
#18,305,470
of 22,663,969 outputs
Outputs from BMC Research Notes
#3,005
of 4,248 outputs
Outputs of similar age
#197,261
of 247,570 outputs
Outputs of similar age from BMC Research Notes
#67
of 85 outputs
Altmetric has tracked 22,663,969 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 4,248 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 247,570 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 85 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.