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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Low-cost and clinically applicable copy number profiling using repeat DNA
|
|---|---|
| Published in |
BMC Genomics, August 2022
|
| DOI | 10.1186/s12864-022-08681-8 |
| Pubmed ID | |
| Authors |
Sam Abujudeh, Sebastian S. Zeki, Meta C.J. van Lanschot, Mark Pusung, Jamie M.J. Weaver, Xiaodun Li, Ayesha Noorani, Andrew J. Metz, Jan Bornschein, Lawrence Bower, Ahmad Miremadi, Rebecca C. Fitzgerald, Edward R. Morrissey, Andy G. Lynch |
X Demographics
The data shown below were collected from the profiles of 6 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 | 2 | 33% |
| Brazil | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 67% |
| Members of the public | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 24% |
| Professor | 2 | 10% |
| Student > Master | 2 | 10% |
| Student > Ph. D. Student | 2 | 10% |
| Student > Doctoral Student | 1 | 5% |
| Other | 4 | 19% |
| Unknown | 5 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 24% |
| Biochemistry, Genetics and Molecular Biology | 3 | 14% |
| Computer Science | 2 | 10% |
| Agricultural and Biological Sciences | 2 | 10% |
| Mathematics | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 6 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 26 August 2022.
All research outputs
#2,909,035
of 24,334,327 outputs
Outputs from BMC Genomics
#935
of 10,956 outputs
Outputs of similar age
#59,589
of 420,687 outputs
Outputs of similar age from BMC Genomics
#11
of 149 outputs
Altmetric has tracked 24,334,327 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,956 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 91% 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 420,687 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 85% of its contemporaries.
We're also able to compare this research output to 149 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.