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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Increasing mapping precision of genome-wide association studies: to genotype and impute, sequence, or both?
|
|---|---|
| Published in |
Genome Biology, June 2017
|
| DOI | 10.1186/s13059-017-1255-6 |
| Pubmed ID | |
| Authors |
Zhaoming Wang, Nilanjan Chatterjee |
| Abstract |
Fine-mapping to identify causal variants in genome-wide association studies remains challenging. A recent study provides guidance for future research. |
X Demographics
The data shown below were collected from the profiles of 16 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 | 4 | 25% |
| United States | 1 | 6% |
| Greece | 1 | 6% |
| China | 1 | 6% |
| Unknown | 9 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 44% |
| Members of the public | 6 | 38% |
| Practitioners (doctors, other healthcare professionals) | 2 | 13% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 31% |
| Student > Ph. D. Student | 10 | 20% |
| Student > Postgraduate | 5 | 10% |
| Student > Master | 5 | 10% |
| Student > Bachelor | 4 | 8% |
| Other | 3 | 6% |
| Unknown | 7 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 15 | 31% |
| Biochemistry, Genetics and Molecular Biology | 13 | 27% |
| Medicine and Dentistry | 4 | 8% |
| Immunology and Microbiology | 3 | 6% |
| Nursing and Health Professions | 1 | 2% |
| Other | 4 | 8% |
| Unknown | 9 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 31 July 2017.
All research outputs
#4,302,355
of 25,382,440 outputs
Outputs from Genome Biology
#2,671
of 4,468 outputs
Outputs of similar age
#71,398
of 329,774 outputs
Outputs of similar age from Genome Biology
#53
of 64 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,468 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 40th percentile – i.e., 40% of its peers scored the same or lower than it.
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 329,774 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 78% of its contemporaries.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.