You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Uninformative polymorphisms bias genome scans for signatures of selection
|
|---|---|
| Published in |
BMC Ecology and Evolution, June 2012
|
| DOI | 10.1186/1471-2148-12-94 |
| Pubmed ID | |
| Authors |
Marius Roesti, Walter Salzburger, Daniel Berner |
| Abstract |
With the establishment of high-throughput sequencing technologies and new methods for rapid and extensive single nucleotide (SNP) discovery, marker-based genome scans in search of signatures of divergent selection between populations occupying ecologically distinct environments are becoming increasingly popular. |
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 % |
|---|---|---|
| Canada | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 210 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 2% |
| Portugal | 3 | 1% |
| United Kingdom | 2 | <1% |
| Chile | 1 | <1% |
| France | 1 | <1% |
| Ireland | 1 | <1% |
| Australia | 1 | <1% |
| Brazil | 1 | <1% |
| Germany | 1 | <1% |
| Other | 4 | 2% |
| Unknown | 191 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 61 | 29% |
| Researcher | 45 | 21% |
| Student > Master | 27 | 13% |
| Student > Doctoral Student | 13 | 6% |
| Student > Bachelor | 11 | 5% |
| Other | 35 | 17% |
| Unknown | 18 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 151 | 72% |
| Biochemistry, Genetics and Molecular Biology | 21 | 10% |
| Environmental Science | 6 | 3% |
| Medicine and Dentistry | 2 | <1% |
| Chemical Engineering | 1 | <1% |
| Other | 4 | 2% |
| Unknown | 25 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 03 June 2017.
All research outputs
#3,297,937
of 26,017,215 outputs
Outputs from BMC Ecology and Evolution
#858
of 3,772 outputs
Outputs of similar age
#20,993
of 181,730 outputs
Outputs of similar age from BMC Ecology and Evolution
#10
of 57 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,772 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one has done well, scoring higher than 77% 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 181,730 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.