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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Dissecting the regulatory architecture of gene expression QTLs
|
|---|---|
| Published in |
Genome Biology, January 2012
|
| DOI | 10.1186/gb-2012-13-1-r7 |
| Pubmed ID | |
| Authors |
Daniel J Gaffney, Jean-Baptiste Veyrieras, Jacob F Degner, Roger Pique-Regi, Athma A Pai, Gregory E Crawford, Matthew Stephens, Yoav Gilad, Jonathan K Pritchard |
| Abstract |
Expression quantitative trait loci (eQTLs) are likely to play an important role in the genetics of complex traits; however, their functional basis remains poorly understood. Using the HapMap lymphoblastoid cell lines, we combine 1000 Genomes genotypes and an extensive catalogue of human functional elements to investigate the biological mechanisms that eQTLs perturb. |
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 States | 2 | 33% |
| United Kingdom | 1 | 17% |
| Germany | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
| Members of the public | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 344 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 25 | 7% |
| France | 2 | <1% |
| United Kingdom | 2 | <1% |
| Ireland | 1 | <1% |
| Italy | 1 | <1% |
| Brazil | 1 | <1% |
| Portugal | 1 | <1% |
| Canada | 1 | <1% |
| Switzerland | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 307 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 111 | 32% |
| Student > Ph. D. Student | 110 | 32% |
| Professor | 22 | 6% |
| Professor > Associate Professor | 20 | 6% |
| Student > Master | 19 | 6% |
| Other | 43 | 13% |
| Unknown | 19 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 208 | 60% |
| Biochemistry, Genetics and Molecular Biology | 52 | 15% |
| Computer Science | 22 | 6% |
| Medicine and Dentistry | 12 | 3% |
| Mathematics | 6 | 2% |
| Other | 15 | 4% |
| Unknown | 29 | 8% |
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 30 March 2012.
All research outputs
#7,302,411
of 25,374,647 outputs
Outputs from Genome Biology
#3,294
of 4,467 outputs
Outputs of similar age
#61,043
of 253,433 outputs
Outputs of similar age from Genome Biology
#37
of 44 outputs
Altmetric has tracked 25,374,647 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 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 26th percentile – i.e., 26% 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 253,433 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 75% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.