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X Demographics
Mendeley readers
Attention Score in Context
| Title |
RaPID: ultra-fast, powerful, and accurate detection of segments identical by descent (IBD) in biobank-scale cohorts
|
|---|---|
| Published in |
Genome Biology, July 2019
|
| DOI | 10.1186/s13059-019-1754-8 |
| Pubmed ID | |
| Authors |
Ardalan Naseri, Xiaoming Liu, Kecong Tang, Shaojie Zhang, Degui Zhi |
X Demographics
The data shown below were collected from the profiles of 19 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 | 8 | 42% |
| United Kingdom | 3 | 16% |
| Australia | 1 | 5% |
| Denmark | 1 | 5% |
| Canada | 1 | 5% |
| Unknown | 5 | 26% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 10 | 53% |
| Members of the public | 6 | 32% |
| Science communicators (journalists, bloggers, editors) | 2 | 11% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 54 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 22% |
| Student > Ph. D. Student | 10 | 19% |
| Student > Master | 5 | 9% |
| Professor > Associate Professor | 3 | 6% |
| Student > Doctoral Student | 3 | 6% |
| Other | 7 | 13% |
| Unknown | 14 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 15 | 28% |
| Agricultural and Biological Sciences | 10 | 19% |
| Computer Science | 5 | 9% |
| Medicine and Dentistry | 5 | 9% |
| Mathematics | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 16 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 18 October 2019.
All research outputs
#2,004,469
of 25,385,509 outputs
Outputs from Genome Biology
#1,686
of 4,470 outputs
Outputs of similar age
#41,273
of 358,997 outputs
Outputs of similar age from Genome Biology
#34
of 68 outputs
Altmetric has tracked 25,385,509 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 4,470 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 62% 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 358,997 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 68 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 50% of its contemporaries.