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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deeper, longer phenotyping to accelerate the discovery of the genetic architectures of diseases
|
|---|---|
| Published in |
Genome Biology, May 2014
|
| DOI | 10.1186/gb4175 |
| Pubmed ID | |
| Authors |
Isaac S Kohane |
X Demographics
The data shown below were collected from the profiles of 35 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 | 19 | 54% |
| United Kingdom | 4 | 11% |
| Canada | 2 | 6% |
| Finland | 1 | 3% |
| Nigeria | 1 | 3% |
| Unknown | 8 | 23% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 46% |
| Scientists | 14 | 40% |
| Practitioners (doctors, other healthcare professionals) | 3 | 9% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
| Unknown | 1 | 3% |
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 % |
|---|---|---|
| United States | 2 | 6% |
| Spain | 1 | 3% |
| Germany | 1 | 3% |
| Unknown | 32 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 28% |
| Student > Ph. D. Student | 8 | 22% |
| Professor > Associate Professor | 3 | 8% |
| Student > Master | 3 | 8% |
| Professor | 2 | 6% |
| Other | 4 | 11% |
| Unknown | 6 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 10 | 28% |
| Medicine and Dentistry | 6 | 17% |
| Biochemistry, Genetics and Molecular Biology | 3 | 8% |
| Computer Science | 3 | 8% |
| Nursing and Health Professions | 1 | 3% |
| Other | 6 | 17% |
| Unknown | 7 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 08 April 2019.
All research outputs
#1,906,094
of 25,374,917 outputs
Outputs from Genome Biology
#1,587
of 4,467 outputs
Outputs of similar age
#18,668
of 240,004 outputs
Outputs of similar age from Genome Biology
#13
of 43 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
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 has gotten more attention than average, scoring higher than 64% 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 240,004 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 92% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.