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Attention Score in Context
| Title |
Simple sequence repeat markers useful for sorghum downy mildew (Peronosclerospora sorghi) and related species
|
|---|---|
| Published in |
BMC Genomic Data, November 2008
|
| DOI | 10.1186/1471-2156-9-77 |
| Pubmed ID | |
| Authors |
Ramasamy Perumal, Padmavathi Nimmakayala, Saradha R Erattaimuthu, Eun-Gyu No, Umesh K Reddy, Louis K Prom, Gary N Odvody, Douglas G Luster, Clint W Magill |
| Abstract |
A recent outbreak of sorghum downy mildew in Texas has led to the discovery of both metalaxyl resistance and a new pathotype in the causal organism, Peronosclerospora sorghi. These observations and the difficulty in resolving among phylogenetically related downy mildew pathogens dramatically point out the need for simply scored markers in order to differentiate among isolates and species, and to study the population structure within these obligate oomycetes. Here we present the initial results from the use of a biotin capture method to discover, clone and develop PCR primers that permit the use of simple sequence repeats (microsatellites) to detect differences at the DNA level. |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 2% |
| Unknown | 65 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 20% |
| Student > Bachelor | 10 | 15% |
| Student > Master | 9 | 14% |
| Student > Ph. D. Student | 7 | 11% |
| Other | 3 | 5% |
| Other | 14 | 21% |
| Unknown | 10 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 49 | 74% |
| Biochemistry, Genetics and Molecular Biology | 5 | 8% |
| Environmental Science | 1 | 2% |
| Computer Science | 1 | 2% |
| Neuroscience | 1 | 2% |
| Other | 2 | 3% |
| Unknown | 7 | 11% |
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 10 May 2014.
All research outputs
#8,535,472
of 25,374,647 outputs
Outputs from BMC Genomic Data
#316
of 1,204 outputs
Outputs of similar age
#51,550
of 179,376 outputs
Outputs of similar age from BMC Genomic Data
#6
of 7 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 65% 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 179,376 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 7 others from the same source and published within six weeks on either side of this one.