| Title |
Genetic associations at regulatory phenotypes improve fine-mapping of causal variants for twelve immune-mediated diseases
|
|---|---|
| Published in |
bioRxiv, January 2020
|
| DOI | 10.1101/2020.01.15.907436 |
| Authors |
Kousik Kundu, Alice L. Mann, Manuel Tardaguila, Stephen Watt, Hannes Ponstingl, Louella Vasquez, Nicholas W. Morrell, Oliver Stegle, Tomi Pastinen, Stephen J. Sawcer, Carl A. Anderson, Klaudia Walter, Nicole Soranzo |
X Demographics
The data shown below were collected from the profiles of 72 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 | 17 | 24% |
| United States | 16 | 22% |
| Spain | 3 | 4% |
| Germany | 3 | 4% |
| Italy | 2 | 3% |
| Canada | 2 | 3% |
| Japan | 2 | 3% |
| Taiwan | 1 | 1% |
| Belgium | 1 | 1% |
| Other | 7 | 10% |
| Unknown | 18 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 41 | 57% |
| Members of the public | 30 | 42% |
| Science communicators (journalists, bloggers, editors) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 47% |
| Student > Ph. D. Student | 3 | 8% |
| Student > Master | 2 | 6% |
| Other | 1 | 3% |
| Lecturer > Senior Lecturer | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 10 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 17 | 47% |
| Agricultural and Biological Sciences | 4 | 11% |
| Computer Science | 2 | 6% |
| Immunology and Microbiology | 1 | 3% |
| Neuroscience | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 11 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 37. 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 24 July 2020.
All research outputs
#1,109,351
of 25,754,670 outputs
Outputs from bioRxiv
#563
of 5,078 outputs
Outputs of similar age
#27,354
of 480,725 outputs
Outputs of similar age from bioRxiv
#19
of 80 outputs
Altmetric has tracked 25,754,670 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,078 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 28.3. This one has done well, scoring higher than 88% 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 480,725 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 94% of its contemporaries.
We're also able to compare this research output to 80 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.