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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Complex structural variants in Mendelian disorders: identification and breakpoint resolution using short- and long-read genome sequencing
|
|---|---|
| Published in |
Genome Medicine, December 2018
|
| DOI | 10.1186/s13073-018-0606-6 |
| Pubmed ID | |
| Authors |
Alba Sanchis-Juan, Jonathan Stephens, Courtney E. French, Nicholas Gleadall, Karyn Mégy, Christopher Penkett, Olga Shamardina, Kathleen Stirrups, Isabelle Delon, Eleanor Dewhurst, Helen Dolling, Marie Erwood, Detelina Grozeva, Luca Stefanucci, Gavin Arno, Andrew R. Webster, Trevor Cole, Topun Austin, Ricardo Garcia Branco, Willem H. Ouwehand, F. Lucy Raymond, Keren J. Carss |
X Demographics
The data shown below were collected from the profiles of 27 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 | 13 | 48% |
| United States | 5 | 19% |
| Mexico | 1 | 4% |
| Spain | 1 | 4% |
| Germany | 1 | 4% |
| Unknown | 6 | 22% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 13 | 48% |
| Members of the public | 13 | 48% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 142 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 28 | 20% |
| Student > Ph. D. Student | 22 | 15% |
| Student > Bachelor | 11 | 8% |
| Student > Master | 9 | 6% |
| Other | 8 | 6% |
| Other | 19 | 13% |
| Unknown | 45 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 46 | 32% |
| Agricultural and Biological Sciences | 14 | 10% |
| Medicine and Dentistry | 9 | 6% |
| Neuroscience | 4 | 3% |
| Computer Science | 4 | 3% |
| Other | 14 | 10% |
| Unknown | 51 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 25. 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 29 April 2020.
All research outputs
#1,527,645
of 25,193,883 outputs
Outputs from Genome Medicine
#333
of 1,556 outputs
Outputs of similar age
#34,354
of 448,964 outputs
Outputs of similar age from Genome Medicine
#9
of 28 outputs
Altmetric has tracked 25,193,883 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 1,556 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.1. This one has done well, scoring higher than 78% 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 448,964 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 92% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.