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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Nanopore adaptive sampling: a tool for enrichment of low abundance species in metagenomic samples
|
|---|---|
| Published in |
Genome Biology, January 2022
|
| DOI | 10.1186/s13059-021-02582-x |
| Pubmed ID | |
| Authors |
Samuel Martin, Darren Heavens, Yuxuan Lan, Samuel Horsfield, Matthew D. Clark, Richard M. Leggett |
X Demographics
The data shown below were collected from the profiles of 126 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 | 21 | 17% |
| United Kingdom | 16 | 13% |
| New Zealand | 5 | 4% |
| Australia | 4 | 3% |
| France | 3 | 2% |
| Sweden | 3 | 2% |
| Spain | 3 | 2% |
| Netherlands | 3 | 2% |
| Germany | 2 | 2% |
| Other | 17 | 13% |
| Unknown | 49 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 66 | 52% |
| Members of the public | 59 | 47% |
| Science communicators (journalists, bloggers, editors) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 253 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 253 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 38 | 15% |
| Student > Ph. D. Student | 29 | 11% |
| Student > Master | 27 | 11% |
| Student > Bachelor | 18 | 7% |
| Other | 8 | 3% |
| Other | 32 | 13% |
| Unknown | 101 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 65 | 26% |
| Agricultural and Biological Sciences | 44 | 17% |
| Medicine and Dentistry | 7 | 3% |
| Immunology and Microbiology | 6 | 2% |
| Environmental Science | 5 | 2% |
| Other | 20 | 8% |
| Unknown | 106 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 99. 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 08 November 2023.
All research outputs
#435,398
of 25,832,559 outputs
Outputs from Genome Biology
#228
of 4,521 outputs
Outputs of similar age
#11,929
of 523,535 outputs
Outputs of similar age from Genome Biology
#9
of 92 outputs
Altmetric has tracked 25,832,559 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,521 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.9. This one has done particularly well, scoring higher than 94% 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 523,535 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 97% of its contemporaries.
We're also able to compare this research output to 92 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 90% of its contemporaries.