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X Demographics
Mendeley readers
Attention Score in Context
| Title |
tmap: an integrative framework based on topological data analysis for population-scale microbiome stratification and association studies
|
|---|---|
| Published in |
Genome Biology, December 2019
|
| DOI | 10.1186/s13059-019-1871-4 |
| Pubmed ID | |
| Authors |
Tianhua Liao, Yuchen Wei, Mingjing Luo, Guo-Ping Zhao, Haokui Zhou |
X Demographics
The data shown below were collected from the profiles of 25 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 | 28% |
| France | 3 | 12% |
| United Kingdom | 2 | 8% |
| Belgium | 1 | 4% |
| Netherlands | 1 | 4% |
| India | 1 | 4% |
| Unknown | 10 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 56% |
| Scientists | 9 | 36% |
| 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 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 78 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 27% |
| Researcher | 13 | 17% |
| Student > Master | 7 | 9% |
| Student > Doctoral Student | 6 | 8% |
| Student > Postgraduate | 6 | 8% |
| Other | 6 | 8% |
| Unknown | 19 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 13 | 17% |
| Biochemistry, Genetics and Molecular Biology | 12 | 15% |
| Computer Science | 5 | 6% |
| Immunology and Microbiology | 4 | 5% |
| Mathematics | 4 | 5% |
| Other | 14 | 18% |
| Unknown | 26 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 20 August 2021.
All research outputs
#2,829,643
of 25,387,668 outputs
Outputs from Genome Biology
#2,177
of 4,470 outputs
Outputs of similar age
#66,560
of 474,668 outputs
Outputs of similar age from Genome Biology
#69
of 92 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done well and is in the 88th 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 has gotten more attention than average, scoring higher than 51% 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 474,668 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 92 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.