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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The impact of rare and low-frequency genetic variants in common disease
|
|---|---|
| Published in |
Genome Biology, April 2017
|
| DOI | 10.1186/s13059-017-1212-4 |
| Pubmed ID | |
| Authors |
Lorenzo Bomba, Klaudia Walter, Nicole Soranzo |
X Demographics
The data shown below were collected from the profiles of 36 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 | 8 | 22% |
| United States | 7 | 19% |
| Ireland | 3 | 8% |
| Canada | 3 | 8% |
| Greece | 1 | 3% |
| Spain | 1 | 3% |
| Germany | 1 | 3% |
| France | 1 | 3% |
| Unknown | 11 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 17 | 47% |
| Members of the public | 13 | 36% |
| Practitioners (doctors, other healthcare professionals) | 4 | 11% |
| Science communicators (journalists, bloggers, editors) | 2 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 569 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 566 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 130 | 23% |
| Researcher | 93 | 16% |
| Student > Master | 66 | 12% |
| Student > Bachelor | 61 | 11% |
| Student > Doctoral Student | 29 | 5% |
| Other | 77 | 14% |
| Unknown | 113 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 205 | 36% |
| Agricultural and Biological Sciences | 103 | 18% |
| Medicine and Dentistry | 45 | 8% |
| Neuroscience | 14 | 2% |
| Computer Science | 14 | 2% |
| Other | 54 | 9% |
| Unknown | 134 | 24% |
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 12 August 2018.
All research outputs
#1,996,374
of 26,017,215 outputs
Outputs from Genome Biology
#1,663
of 4,520 outputs
Outputs of similar age
#36,754
of 327,511 outputs
Outputs of similar age from Genome Biology
#32
of 54 outputs
Altmetric has tracked 26,017,215 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 4,520 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.7. This one has gotten more attention than average, scoring higher than 63% 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 327,511 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 88% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.