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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Rule-based induction method for haplotype comparison and identification of candidate disease loci
|
|---|---|
| Published in |
Genome Medicine, March 2012
|
| DOI | 10.1186/gm320 |
| Pubmed ID | |
| Authors |
Sirkku Karinen, Silva Saarinen, Rainer Lehtonen, Pasi Rastas, Pia Vahteristo, Lauri A Aaltonen, Sampsa Hautaniemi |
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 % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 6% |
| Sweden | 1 | 6% |
| Unknown | 14 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 38% |
| Professor | 3 | 19% |
| Student > Bachelor | 2 | 13% |
| Student > Doctoral Student | 1 | 6% |
| Professor > Associate Professor | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 2 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 38% |
| Medicine and Dentistry | 3 | 19% |
| Computer Science | 2 | 13% |
| Engineering | 2 | 13% |
| Unknown | 3 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 13 April 2012.
All research outputs
#4,266,836
of 25,837,817 outputs
Outputs from Genome Medicine
#850
of 1,611 outputs
Outputs of similar age
#26,656
of 174,085 outputs
Outputs of similar age from Genome Medicine
#9
of 24 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,611 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.6. This one is in the 46th percentile – i.e., 46% 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 174,085 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 84% of its contemporaries.
We're also able to compare this research output to 24 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 58% of its contemporaries.