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X Demographics
Mendeley readers
Attention Score in Context
| Title |
FusorSV: an algorithm for optimally combining data from multiple structural variation detection methods
|
|---|---|
| Published in |
Genome Biology, March 2018
|
| DOI | 10.1186/s13059-018-1404-6 |
| Pubmed ID | |
| Authors |
Timothy Becker, Wan-Ping Lee, Joseph Leone, Qihui Zhu, Chengsheng Zhang, Silvia Liu, Jack Sargent, Kritika Shanker, Adam Mil-homens, Eliza Cerveira, Mallory Ryan, Jane Cha, Fabio C. P. Navarro, Timur Galeev, Mark Gerstein, Ryan E. Mills, Dong-Guk Shin, Charles Lee, Ankit Malhotra |
X Demographics
The data shown below were collected from the profiles of 30 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 | 12 | 40% |
| France | 5 | 17% |
| United Kingdom | 2 | 7% |
| Brazil | 1 | 3% |
| Canada | 1 | 3% |
| Spain | 1 | 3% |
| Russia | 1 | 3% |
| Unknown | 7 | 23% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 22 | 73% |
| Members of the public | 5 | 17% |
| Science communicators (journalists, bloggers, editors) | 2 | 7% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 121 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 26 | 21% |
| Researcher | 26 | 21% |
| Student > Bachelor | 11 | 9% |
| Other | 9 | 7% |
| Student > Doctoral Student | 7 | 6% |
| Other | 23 | 19% |
| Unknown | 19 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 35 | 29% |
| Agricultural and Biological Sciences | 33 | 27% |
| Computer Science | 18 | 15% |
| Engineering | 5 | 4% |
| Neuroscience | 4 | 3% |
| Other | 7 | 6% |
| Unknown | 19 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 07 March 2024.
All research outputs
#1,687,852
of 25,605,018 outputs
Outputs from Genome Biology
#1,379
of 4,493 outputs
Outputs of similar age
#36,362
of 348,641 outputs
Outputs of similar age from Genome Biology
#22
of 41 outputs
Altmetric has tracked 25,605,018 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,493 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 69% 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 348,641 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 89% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.