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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Churchill: an ultra-fast, deterministic, highly scalable and balanced parallelization strategy for the discovery of human genetic variation in clinical and population-scale genomics
|
|---|---|
| Published in |
Genome Biology, January 2015
|
| DOI | 10.1186/s13059-014-0577-x |
| Pubmed ID | |
| Authors |
Benjamin J Kelly, James R Fitch, Yangqiu Hu, Donald J Corsmeier, Huachun Zhong, Amy N Wetzel, Russell D Nordquist, David L Newsom, Peter White |
| Abstract |
While advances in genome sequencing technology make population-scale genomics a possibility, current approaches for analysis of this data rely upon parallelization strategies that have limited scalability, complex implementation and lack reproducibility. Churchill, a balanced regional parallelization strategy, overcomes these challenges, fully automating the multiple steps required to go from raw sequencing reads to variant discovery. Through implementation of novel deterministic parallelization techniques, Churchill allows computationally efficient analysis of a high-depth whole genome sample in less than two hours. The method is highly scalable, enabling full analysis of the 1000 Genomes raw sequence dataset in a week using cloud resources. http://churchill.nchri.org/. |
X Demographics
The data shown below were collected from the profiles of 26 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 | 9 | 35% |
| United Kingdom | 2 | 8% |
| Germany | 1 | 4% |
| Sweden | 1 | 4% |
| France | 1 | 4% |
| Mexico | 1 | 4% |
| Comoros | 1 | 4% |
| Switzerland | 1 | 4% |
| China | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 7 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 50% |
| Scientists | 12 | 46% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 4% |
| France | 2 | 1% |
| United Kingdom | 2 | 1% |
| Luxembourg | 2 | 1% |
| China | 1 | <1% |
| Italy | 1 | <1% |
| Japan | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 139 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 47 | 30% |
| Student > Ph. D. Student | 37 | 24% |
| Other | 14 | 9% |
| Student > Bachelor | 13 | 8% |
| Student > Master | 13 | 8% |
| Other | 19 | 12% |
| Unknown | 12 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 67 | 43% |
| Computer Science | 24 | 15% |
| Biochemistry, Genetics and Molecular Biology | 23 | 15% |
| Medicine and Dentistry | 10 | 6% |
| Engineering | 7 | 5% |
| Other | 10 | 6% |
| Unknown | 14 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 151. 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 23 September 2021.
All research outputs
#277,392
of 26,017,215 outputs
Outputs from Genome Biology
#105
of 4,520 outputs
Outputs of similar age
#3,200
of 366,117 outputs
Outputs of similar age from Genome Biology
#3
of 71 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 98th percentile: it's in the top 5% 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 done particularly well, scoring higher than 97% 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 366,117 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 99% of its contemporaries.
We're also able to compare this research output to 71 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.