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Attention Score in Context
Title |
Selective constraint, background selection, and mutation accumulation variability within and between human populations
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Published in |
BMC Genomics, July 2013
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DOI | 10.1186/1471-2164-14-495 |
Pubmed ID | |
Authors |
Alan Hodgkinson, Ferran Casals, Youssef Idaghdour, Jean-Christophe Grenier, Ryan D Hernandez, Philip Awadalla |
Abstract |
Regions of the genome that are under evolutionary constraint across multiple species have previously been used to identify functional sequences in the human genome. Furthermore, it is known that there is an inverse relationship between evolutionary constraint and the allele frequency of a mutation segregating in human populations, implying a direct relationship between interspecies divergence and fitness in humans. Here we utilise this relationship to test differences in the accumulation of putatively deleterious mutations both between populations and on the individual level. |
X Demographics
The data shown below were collected from the profiles of 6 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 Kingdom | 1 | 17% |
United States | 1 | 17% |
Unknown | 4 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 3 | 50% |
Members of the public | 2 | 33% |
Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 4% |
Brazil | 2 | 3% |
United Kingdom | 2 | 3% |
Sweden | 1 | 1% |
Spain | 1 | 1% |
Sri Lanka | 1 | 1% |
Unknown | 66 | 87% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 15 | 20% |
Researcher | 14 | 18% |
Student > Bachelor | 12 | 16% |
Student > Master | 7 | 9% |
Student > Doctoral Student | 4 | 5% |
Other | 14 | 18% |
Unknown | 10 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 43 | 57% |
Biochemistry, Genetics and Molecular Biology | 8 | 11% |
Medicine and Dentistry | 4 | 5% |
Psychology | 2 | 3% |
Computer Science | 2 | 3% |
Other | 7 | 9% |
Unknown | 10 | 13% |
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 31 July 2013.
All research outputs
#14,064,518
of 24,862,067 outputs
Outputs from BMC Genomics
#4,676
of 11,092 outputs
Outputs of similar age
#104,069
of 203,769 outputs
Outputs of similar age from BMC Genomics
#40
of 117 outputs
Altmetric has tracked 24,862,067 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 11,092 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 56% 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 203,769 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 117 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 64% of its contemporaries.