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X Demographics
Mendeley readers
Attention Score in Context
| Title |
ExpansionHunter Denovo: a computational method for locating known and novel repeat expansions in short-read sequencing data
|
|---|---|
| Published in |
Genome Biology, April 2020
|
| DOI | 10.1186/s13059-020-02017-z |
| Pubmed ID | |
| Authors |
Egor Dolzhenko, Mark F. Bennett, Phillip A. Richmond, Brett Trost, Sai Chen, Joke J. F. A. van Vugt, Charlotte Nguyen, Giuseppe Narzisi, Vladimir G. Gainullin, Andrew M. Gross, Bryan R. Lajoie, Ryan J. Taft, Wyeth W. Wasserman, Stephen W. Scherer, Jan H. Veldink, David R. Bentley, Ryan K. C. Yuen, Melanie Bahlo, Michael A. Eberle |
X Demographics
The data shown below were collected from the profiles of 56 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 | 18 | 32% |
| United Kingdom | 7 | 13% |
| Canada | 4 | 7% |
| Australia | 3 | 5% |
| Spain | 1 | 2% |
| Norway | 1 | 2% |
| France | 1 | 2% |
| Netherlands | 1 | 2% |
| Ireland | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 18 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 39 | 70% |
| Members of the public | 17 | 30% |
Mendeley readers
The data shown below were compiled from readership statistics for 169 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 169 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 14% |
| Researcher | 22 | 13% |
| Student > Bachelor | 19 | 11% |
| Student > Master | 12 | 7% |
| Other | 11 | 7% |
| Other | 22 | 13% |
| Unknown | 59 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 55 | 33% |
| Medicine and Dentistry | 13 | 8% |
| Neuroscience | 12 | 7% |
| Agricultural and Biological Sciences | 9 | 5% |
| Computer Science | 5 | 3% |
| Other | 12 | 7% |
| Unknown | 63 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 38. 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 15 December 2022.
All research outputs
#1,095,812
of 25,655,374 outputs
Outputs from Genome Biology
#784
of 4,498 outputs
Outputs of similar age
#31,430
of 409,258 outputs
Outputs of similar age from Genome Biology
#23
of 73 outputs
Altmetric has tracked 25,655,374 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,498 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 done well, scoring higher than 82% 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 409,258 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 73 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 68% of its contemporaries.