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X Demographics
Mendeley readers
Attention Score in Context
| Title |
OMSV enables accurate and comprehensive identification of large structural variations from nanochannel-based single-molecule optical maps
|
|---|---|
| Published in |
Genome Biology, December 2017
|
| DOI | 10.1186/s13059-017-1356-2 |
| Pubmed ID | |
| Authors |
Le Li, Alden King-Yung Leung, Tsz-Piu Kwok, Yvonne Y. Y. Lai, Iris K. Pang, Grace Tin-Yun Chung, Angel C. Y. Mak, Annie Poon, Catherine Chu, Menglu Li, Jacob J. K. Wu, Ernest T. Lam, Han Cao, Chin Lin, Justin Sibert, Siu-Ming Yiu, Ming Xiao, Kwok-Wai Lo, Pui-Yan Kwok, Ting-Fung Chan, Kevin Y. Yip |
X Demographics
The data shown below were collected from the profiles of 6 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 | 2 | 33% |
| United States | 1 | 17% |
| India | 1 | 17% |
| Tanzania, United Republic of | 1 | 17% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 29% |
| Researcher | 5 | 11% |
| Professor > Associate Professor | 4 | 9% |
| Student > Master | 4 | 9% |
| Other | 3 | 7% |
| Other | 6 | 13% |
| Unknown | 10 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 9 | 20% |
| Computer Science | 8 | 18% |
| Biochemistry, Genetics and Molecular Biology | 7 | 16% |
| Mathematics | 2 | 4% |
| Engineering | 2 | 4% |
| Other | 6 | 13% |
| Unknown | 11 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 06 April 2018.
All research outputs
#8,577,479
of 26,017,215 outputs
Outputs from Genome Biology
#3,485
of 4,513 outputs
Outputs of similar age
#156,288
of 451,438 outputs
Outputs of similar age from Genome Biology
#51
of 57 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
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 is in the 21st percentile – i.e., 21% 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 451,438 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.