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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Discovery of Single Nucleotide Polymorphisms in Complex Genomes Using SGSautoSNP
|
|---|---|
| Published in |
Biology, August 2012
|
| DOI | 10.3390/biology1020370 |
| Pubmed ID | |
| Authors |
Michał T. Lorenc, Satomi Hayashi, Jiri Stiller, Hong Lee, Sahana Manoli, Pradeep Ruperao, Paul Visendi, Paul J. Berkman, Kaitao Lai, Jacqueline Batley, David Edwards |
X Demographics
The data shown below were collected from the profiles of 3 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 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 2 | 3% |
| Malaysia | 1 | 1% |
| Netherlands | 1 | 1% |
| Uganda | 1 | 1% |
| Brazil | 1 | 1% |
| China | 1 | 1% |
| Unknown | 67 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 26% |
| Researcher | 17 | 23% |
| Student > Bachelor | 6 | 8% |
| Student > Master | 5 | 7% |
| Other | 4 | 5% |
| Other | 10 | 14% |
| Unknown | 13 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 45 | 61% |
| Biochemistry, Genetics and Molecular Biology | 10 | 14% |
| Computer Science | 2 | 3% |
| Economics, Econometrics and Finance | 1 | 1% |
| Medicine and Dentistry | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 15 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 18 March 2013.
All research outputs
#13,683,716
of 22,701,287 outputs
Outputs from Biology
#963
of 2,899 outputs
Outputs of similar age
#96,059
of 169,722 outputs
Outputs of similar age from Biology
#6
of 11 outputs
Altmetric has tracked 22,701,287 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,899 research outputs from this source. They receive a mean Attention Score of 4.4. 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 169,722 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.