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Attention Score in Context
| Title |
Clinal distribution of human genomic diversity across the Netherlands despite archaeological evidence for genetic discontinuities in Dutch population history
|
|---|---|
| Published in |
Investigative Genetics, May 2013
|
| DOI | 10.1186/2041-2223-4-9 |
| Pubmed ID | |
| Authors |
Oscar Lao, Eveline Altena, Christian Becker, Silke Brauer, Thirsa Kraaijenbrink, Mannis van Oven, Peter Nürnberg, Peter de Knijff, Manfred Kayser |
| Abstract |
The presence of a southeast to northwest gradient across Europe in human genetic diversity is a well-established observation and has recently been confirmed by genome-wide single nucleotide polymorphism (SNP) data. This pattern is traditionally explained by major prehistoric human migration events in Palaeolithic and Neolithic times. Here, we investigate whether (similar) spatial patterns in human genomic diversity also occur on a micro-geographic scale within Europe, such as in the Netherlands, and if so, whether these patterns could also be explained by more recent demographic events, such as those that occurred in Dutch population history. |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 4% |
| Colombia | 1 | 4% |
| Philippines | 1 | 4% |
| Germany | 1 | 4% |
| Unknown | 23 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 26% |
| Student > Ph. D. Student | 6 | 22% |
| Professor | 3 | 11% |
| Student > Master | 3 | 11% |
| Student > Bachelor | 2 | 7% |
| Other | 6 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 14 | 52% |
| Social Sciences | 4 | 15% |
| Biochemistry, Genetics and Molecular Biology | 2 | 7% |
| Medicine and Dentistry | 2 | 7% |
| Mathematics | 1 | 4% |
| Other | 3 | 11% |
| Unknown | 1 | 4% |
Attention Score in Context
This research output has an Altmetric Attention Score of 35. 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 11 October 2019.
All research outputs
#1,126,496
of 24,931,592 outputs
Outputs from Investigative Genetics
#17
of 97 outputs
Outputs of similar age
#8,689
of 200,444 outputs
Outputs of similar age from Investigative Genetics
#2
of 4 outputs
Altmetric has tracked 24,931,592 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 97 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.3. This one has done well, scoring higher than 83% 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 200,444 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.