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X Demographics
Mendeley readers
Attention Score in Context
Title |
svclassify: a method to establish benchmark structural variant calls
|
---|---|
Published in |
BMC Genomics, January 2016
|
DOI | 10.1186/s12864-016-2366-2 |
Pubmed ID | |
Authors |
Hemang Parikh, Marghoob Mohiyuddin, Hugo Y. K. Lam, Hariharan Iyer, Desu Chen, Mark Pratt, Gabor Bartha, Noah Spies, Wolfgang Losert, Justin M. Zook, Marc Salit |
X Demographics
The data shown below were collected from the profiles of 13 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 | 4 | 31% |
Tunisia | 1 | 8% |
Germany | 1 | 8% |
Canada | 1 | 8% |
Israel | 1 | 8% |
United Kingdom | 1 | 8% |
Unknown | 4 | 31% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 7 | 54% |
Scientists | 5 | 38% |
Science communicators (journalists, bloggers, editors) | 1 | 8% |
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 % |
---|---|---|
Brazil | 3 | 2% |
Norway | 2 | 1% |
Sweden | 2 | 1% |
Italy | 1 | <1% |
New Zealand | 1 | <1% |
Japan | 1 | <1% |
United States | 1 | <1% |
Unknown | 144 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 46 | 30% |
Student > Ph. D. Student | 34 | 22% |
Student > Bachelor | 14 | 9% |
Student > Master | 14 | 9% |
Student > Doctoral Student | 7 | 5% |
Other | 14 | 9% |
Unknown | 26 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 52 | 34% |
Biochemistry, Genetics and Molecular Biology | 38 | 25% |
Computer Science | 17 | 11% |
Medicine and Dentistry | 5 | 3% |
Physics and Astronomy | 3 | 2% |
Other | 11 | 7% |
Unknown | 29 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 10 August 2023.
All research outputs
#3,815,678
of 26,017,215 outputs
Outputs from BMC Genomics
#1,351
of 11,367 outputs
Outputs of similar age
#62,257
of 406,044 outputs
Outputs of similar age from BMC Genomics
#30
of 261 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,367 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 87% 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 406,044 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 83% of its contemporaries.
We're also able to compare this research output to 261 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.