| Title |
Integrated genome-wide association, coexpression network, and expression single nucleotide polymorphism analysis identifies novel pathway in allergic rhinitis
|
|---|---|
| Published in |
BMC Medical Genomics, August 2014
|
| DOI | 10.1186/1755-8794-7-48 |
| Pubmed ID | |
| Authors |
Supinda Bunyavanich, Eric E Schadt, Blanca E Himes, Jessica Lasky-Su, Weiliang Qiu, Ross Lazarus, John P Ziniti, Ariella Cohain, Michael Linderman, Dara G Torgerson, Celeste S Eng, Maria Pino-Yanes, Badri Padhukasahasram, James J Yang, Rasika A Mathias, Terri H Beaty, Xingnan Li, Penelope Graves, Isabelle Romieu, Blanca del Rio Navarro, M Towhid Salam, Hita Vora, Dan L Nicolae, Carole Ober, Fernando D Martinez, Eugene R Bleecker, Deborah A Meyers, W James Gauderman, Frank Gilliland, Esteban G Burchard, Kathleen C Barnes, L Keoki Williams, Stephanie J London, Bin Zhang, Benjamin A Raby, Scott T Weiss |
X Demographics
The data shown below were collected from the profiles of 7 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 | 4 | 57% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 57% |
| Members of the public | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 5% |
| Germany | 1 | 1% |
| Unknown | 89 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 31 | 33% |
| Student > Ph. D. Student | 14 | 15% |
| Professor > Associate Professor | 8 | 8% |
| Student > Doctoral Student | 7 | 7% |
| Student > Master | 5 | 5% |
| Other | 14 | 15% |
| Unknown | 16 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 28 | 29% |
| Medicine and Dentistry | 17 | 18% |
| Biochemistry, Genetics and Molecular Biology | 13 | 14% |
| Computer Science | 6 | 6% |
| Immunology and Microbiology | 2 | 2% |
| Other | 6 | 6% |
| Unknown | 23 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 29 October 2018.
All research outputs
#7,409,480
of 26,017,215 outputs
Outputs from BMC Medical Genomics
#502
of 2,488 outputs
Outputs of similar age
#65,337
of 244,871 outputs
Outputs of similar age from BMC Medical Genomics
#6
of 30 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 2,488 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done well, scoring higher than 78% 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 244,871 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.