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X Demographics
Mendeley readers
Attention Score in Context
Title |
Comprehensive evaluation of structural variation detection algorithms for whole genome sequencing
|
---|---|
Published in |
Genome Biology, June 2019
|
DOI | 10.1186/s13059-019-1720-5 |
Pubmed ID | |
Authors |
Shunichi Kosugi, Yukihide Momozawa, Xiaoxi Liu, Chikashi Terao, Michiaki Kubo, Yoichiro Kamatani |
X Demographics
The data shown below were collected from the profiles of 171 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 | 43 | 25% |
United Kingdom | 14 | 8% |
Australia | 7 | 4% |
Germany | 6 | 4% |
France | 6 | 4% |
Japan | 5 | 3% |
Netherlands | 5 | 3% |
Canada | 4 | 2% |
Sweden | 4 | 2% |
Other | 16 | 9% |
Unknown | 61 | 36% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 98 | 57% |
Members of the public | 68 | 40% |
Science communicators (journalists, bloggers, editors) | 3 | 2% |
Practitioners (doctors, other healthcare professionals) | 2 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 692 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 692 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 144 | 21% |
Student > Ph. D. Student | 138 | 20% |
Student > Master | 79 | 11% |
Student > Bachelor | 44 | 6% |
Student > Doctoral Student | 33 | 5% |
Other | 76 | 11% |
Unknown | 178 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 234 | 34% |
Agricultural and Biological Sciences | 147 | 21% |
Computer Science | 39 | 6% |
Medicine and Dentistry | 20 | 3% |
Immunology and Microbiology | 9 | 1% |
Other | 46 | 7% |
Unknown | 197 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 110. 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 May 2023.
All research outputs
#390,156
of 26,017,215 outputs
Outputs from Genome Biology
#191
of 4,513 outputs
Outputs of similar age
#8,084
of 368,289 outputs
Outputs of similar age from Genome Biology
#12
of 66 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 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,513 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 95% 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 368,289 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 97% of its contemporaries.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.