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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Using synthetic chromosome controls to evaluate the sequencing of difficult regions within the human genome
|
|---|---|
| Published in |
Genome Biology, January 2022
|
| DOI | 10.1186/s13059-021-02579-6 |
| Pubmed ID | |
| Authors |
Andre L. M. Reis, Ira W. Deveson, Bindu Swapna Madala, Ted Wong, Chris Barker, Joshua Xu, Niall Lennon, Weida Tong, Tim R. Mercer |
X Demographics
The data shown below were collected from the profiles of 15 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 | 3 | 20% |
| United States | 2 | 13% |
| Spain | 2 | 13% |
| Germany | 1 | 7% |
| Sweden | 1 | 7% |
| New Zealand | 1 | 7% |
| Australia | 1 | 7% |
| Unknown | 4 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 8 | 53% |
| Members of the public | 5 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 32% |
| Student > Master | 2 | 11% |
| Other | 1 | 5% |
| Student > Ph. D. Student | 1 | 5% |
| Student > Bachelor | 1 | 5% |
| Other | 2 | 11% |
| Unknown | 6 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 10 | 53% |
| Agricultural and Biological Sciences | 2 | 11% |
| Computer Science | 1 | 5% |
| Veterinary Science and Veterinary Medicine | 1 | 5% |
| Unknown | 5 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 09 October 2023.
All research outputs
#2,445,307
of 25,392,582 outputs
Outputs from Genome Biology
#1,987
of 4,470 outputs
Outputs of similar age
#59,428
of 517,789 outputs
Outputs of similar age from Genome Biology
#64
of 90 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,470 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 gotten more attention than average, scoring higher than 55% 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 517,789 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 88% of its contemporaries.
We're also able to compare this research output to 90 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.