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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Whole genome sequencing of peach (Prunus persica L.) for SNP identification and selection
|
|---|---|
| Published in |
BMC Genomics, November 2011
|
| DOI | 10.1186/1471-2164-12-569 |
| Pubmed ID | |
| Authors |
Riaz Ahmad, Dan E Parfitt, Joseph Fass, Ebenezer Ogundiwin, Amit Dhingra, Thomas M Gradziel, Dawei Lin, Nikhil A Joshi, Pedro J Martinez-Garcia, Carlos H Crisosto |
| Abstract |
The application of next generation sequencing technologies and bioinformatic scripts to identify high frequency SNPs distributed throughout the peach genome is described. Three peach genomes were sequenced using Roche 454 and Illumina/Solexa technologies to obtain long contigs for alignment to the draft 'Lovell' peach sequence as well as sufficient depth of coverage for 'in silico' SNP discovery. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 50% |
| Germany | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Members of the public | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 147 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 2 | 1% |
| Netherlands | 1 | <1% |
| Norway | 1 | <1% |
| Brazil | 1 | <1% |
| Israel | 1 | <1% |
| Czechia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Canada | 1 | <1% |
| Mexico | 1 | <1% |
| Other | 2 | 1% |
| Unknown | 135 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 45 | 31% |
| Student > Ph. D. Student | 32 | 22% |
| Student > Master | 16 | 11% |
| Professor > Associate Professor | 13 | 9% |
| Student > Bachelor | 7 | 5% |
| Other | 21 | 14% |
| Unknown | 13 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 100 | 68% |
| Biochemistry, Genetics and Molecular Biology | 18 | 12% |
| Environmental Science | 3 | 2% |
| Computer Science | 2 | 1% |
| Earth and Planetary Sciences | 2 | 1% |
| Other | 8 | 5% |
| Unknown | 14 | 10% |
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 22 November 2016.
All research outputs
#12,658,011
of 22,656,971 outputs
Outputs from BMC Genomics
#4,376
of 10,607 outputs
Outputs of similar age
#141,472
of 239,425 outputs
Outputs of similar age from BMC Genomics
#129
of 304 outputs
Altmetric has tracked 22,656,971 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 10,607 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 57% 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 239,425 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 304 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.