| Title |
Fine-mapping cellular QTLs with RASQUAL and ATAC-seq
|
|---|---|
| Published in |
Nature Genetics, December 2015
|
| DOI | 10.1038/ng.3467 |
| Pubmed ID | |
| Authors |
Natsuhiko Kumasaka, Andrew J Knights, Daniel J Gaffney |
X Demographics
The data shown below were collected from the profiles of 25 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 | 7 | 28% |
| Japan | 2 | 8% |
| United Kingdom | 1 | 4% |
| France | 1 | 4% |
| Spain | 1 | 4% |
| Canada | 1 | 4% |
| Switzerland | 1 | 4% |
| Estonia | 1 | 4% |
| Unknown | 10 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 52% |
| Scientists | 12 | 48% |
Mendeley readers
The data shown below were compiled from readership statistics for 475 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 12 | 3% |
| United Kingdom | 2 | <1% |
| Japan | 2 | <1% |
| Canada | 2 | <1% |
| France | 1 | <1% |
| Italy | 1 | <1% |
| Germany | 1 | <1% |
| Portugal | 1 | <1% |
| Denmark | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 452 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 135 | 28% |
| Researcher | 115 | 24% |
| Student > Master | 43 | 9% |
| Student > Bachelor | 27 | 6% |
| Student > Doctoral Student | 26 | 5% |
| Other | 78 | 16% |
| Unknown | 51 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 177 | 37% |
| Biochemistry, Genetics and Molecular Biology | 146 | 31% |
| Computer Science | 23 | 5% |
| Medicine and Dentistry | 19 | 4% |
| Neuroscience | 11 | 2% |
| Other | 40 | 8% |
| Unknown | 59 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 29. 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 21 November 2023.
All research outputs
#1,380,961
of 25,837,817 outputs
Outputs from Nature Genetics
#2,087
of 7,639 outputs
Outputs of similar age
#22,741
of 400,138 outputs
Outputs of similar age from Nature Genetics
#42
of 65 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 94th percentile: it's in the top 10% 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 gotten more attention than average, scoring higher than 72% 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 400,138 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 93% of its contemporaries.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.