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X Demographics
Mendeley readers
Attention Score in Context
| Title |
RabbitTClust: enabling fast clustering analysis of millions of bacteria genomes with MinHash sketches
|
|---|---|
| Published in |
Genome Biology, May 2023
|
| DOI | 10.1186/s13059-023-02961-6 |
| Pubmed ID | |
| Authors |
Xiaoming Xu, Zekun Yin, Lifeng Yan, Hao Zhang, Borui Xu, Yanjie Wei, Beifang Niu, Bertil Schmidt, Weiguo Liu |
X Demographics
The data shown below were collected from the profiles of 17 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 | 5 | 29% |
| Germany | 2 | 12% |
| Netherlands | 1 | 6% |
| India | 1 | 6% |
| United Kingdom | 1 | 6% |
| Mexico | 1 | 6% |
| China | 1 | 6% |
| Unknown | 5 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 59% |
| Scientists | 6 | 35% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 30% |
| Researcher | 3 | 30% |
| Other | 1 | 10% |
| Student > Doctoral Student | 1 | 10% |
| Unknown | 2 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 50% |
| Business, Management and Accounting | 1 | 10% |
| Computer Science | 1 | 10% |
| Immunology and Microbiology | 1 | 10% |
| Unknown | 2 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 25 May 2023.
All research outputs
#6,282,660
of 25,394,764 outputs
Outputs from Genome Biology
#3,020
of 4,470 outputs
Outputs of similar age
#102,300
of 390,873 outputs
Outputs of similar age from Genome Biology
#58
of 91 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% 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 is in the 32nd percentile – i.e., 32% of its peers scored the same or lower than it.
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 390,873 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 91 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.