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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A genome-wide association meta-analysis of self-reported allergy identifies shared and allergy-specific susceptibility loci
|
|---|---|
| Published in |
Nature Genetics, June 2013
|
| DOI | 10.1038/ng.2686 |
| Pubmed ID | |
| Authors |
David A Hinds, George McMahon, Amy K Kiefer, Chuong B Do, Nicholas Eriksson, David M Evans, Beate St Pourcain, Susan M Ring, Joanna L Mountain, Uta Francke, George Davey-Smith, Nicholas J Timpson, Joyce Y Tung |
| Abstract |
Allergic disease is very common and carries substantial public-health burdens. We conducted a meta-analysis of genome-wide associations with self-reported cat, dust-mite and pollen allergies in 53,862 individuals. We used generalized estimating equations to model shared and allergy-specific genetic effects. We identified 16 shared susceptibility loci with association P<5×10(-8), including 8 loci previously associated with asthma, as well as 4p14 near TLR1, TLR6 and TLR10 (rs2101521, P=5.3×10(-21)); 6p21.33 near HLA-C and MICA (rs9266772, P=3.2×10(-12)); 5p13.1 near PTGER4 (rs7720838, P=8.2×10(-11)); 2q33.1 in PLCL1 (rs10497813, P=6.1×10(-10)), 3q28 in LPP (rs9860547, P=1.2×10(-9)); 20q13.2 in NFATC2 (rs6021270, P=6.9×10(-9)), 4q27 in ADAD1 (rs17388568, P=3.9×10(-8)); and 14q21.1 near FOXA1 and TTC6 (rs1998359, P=4.8×10(-8)). We identified one locus with substantial evidence of differences in effects across allergies at 6p21.32 in the class II human leukocyte antigen (HLA) region (rs17533090, P=1.7×10(-12)), which was strongly associated with cat allergy. Our study sheds new light on the shared etiology of immune and autoimmune disease. |
X Demographics
The data shown below were collected from the profiles of 30 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 | 5 | 17% |
| Spain | 2 | 7% |
| Montenegro | 1 | 3% |
| Comoros | 1 | 3% |
| Switzerland | 1 | 3% |
| New Zealand | 1 | 3% |
| Netherlands | 1 | 3% |
| Romania | 1 | 3% |
| Canada | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 15 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 15 | 50% |
| Members of the public | 11 | 37% |
| Science communicators (journalists, bloggers, editors) | 3 | 10% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 221 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 2% |
| Netherlands | 2 | <1% |
| Hungary | 1 | <1% |
| Germany | 1 | <1% |
| Spain | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 211 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 59 | 27% |
| Researcher | 51 | 23% |
| Student > Master | 19 | 9% |
| Professor > Associate Professor | 18 | 8% |
| Student > Doctoral Student | 12 | 5% |
| Other | 34 | 15% |
| Unknown | 28 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 66 | 30% |
| Biochemistry, Genetics and Molecular Biology | 47 | 21% |
| Medicine and Dentistry | 35 | 16% |
| Immunology and Microbiology | 7 | 3% |
| Computer Science | 4 | 2% |
| Other | 26 | 12% |
| Unknown | 36 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 135. 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 27 July 2022.
All research outputs
#313,419
of 25,837,817 outputs
Outputs from Nature Genetics
#578
of 7,639 outputs
Outputs of similar age
#2,076
of 208,787 outputs
Outputs of similar age from Nature Genetics
#6
of 73 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,639 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.7. This one has done particularly well, scoring higher than 92% 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 208,787 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 98% of its contemporaries.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.