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X Demographics
Mendeley readers
Attention Score in Context
| Title |
CopywriteR: DNA copy number detection from off-target sequence data
|
|---|---|
| Published in |
Genome Biology, February 2015
|
| DOI | 10.1186/s13059-015-0617-1 |
| Pubmed ID | |
| Authors |
Thomas Kuilman, Arno Velds, Kristel Kemper, Marco Ranzani, Lorenzo Bombardelli, Marlous Hoogstraat, Ekaterina Nevedomskaya, Guotai Xu, Julian de Ruiter, Martijn P Lolkema, Bauke Ylstra, Jos Jonkers, Sven Rottenberg, Lodewyk F Wessels, David J Adams, Daniel S Peeper, Oscar Krijgsman |
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 States | 7 | 26% |
| United Kingdom | 5 | 19% |
| India | 2 | 7% |
| Israel | 2 | 7% |
| France | 2 | 7% |
| Germany | 2 | 7% |
| New Zealand | 1 | 4% |
| Slovenia | 1 | 4% |
| Unknown | 5 | 19% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 17 | 63% |
| Members of the public | 8 | 30% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 225 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 3 | 1% |
| Germany | 2 | <1% |
| Australia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Canada | 1 | <1% |
| New Zealand | 1 | <1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 214 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 59 | 26% |
| Student > Ph. D. Student | 45 | 20% |
| Student > Bachelor | 25 | 11% |
| Student > Master | 24 | 11% |
| Student > Postgraduate | 9 | 4% |
| Other | 30 | 13% |
| Unknown | 33 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 73 | 32% |
| Biochemistry, Genetics and Molecular Biology | 58 | 26% |
| Medicine and Dentistry | 24 | 11% |
| Computer Science | 12 | 5% |
| Engineering | 5 | 2% |
| Other | 14 | 6% |
| Unknown | 39 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 13 July 2023.
All research outputs
#1,755,652
of 26,017,215 outputs
Outputs from Genome Biology
#1,449
of 4,513 outputs
Outputs of similar age
#21,433
of 272,457 outputs
Outputs of similar age from Genome Biology
#25
of 72 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
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 has gotten more attention than average, scoring higher than 67% 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 272,457 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 72 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 65% of its contemporaries.