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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Knomics-Biota - a system for exploratory analysis of human gut microbiota data
|
|---|---|
| Published in |
BioData Mining, November 2018
|
| DOI | 10.1186/s13040-018-0187-3 |
| Pubmed ID | |
| Authors |
Daria Efimova, Alexander Tyakht, Anna Popenko, Anatoly Vasilyev, Ilya Altukhov, Nikita Dovidchenko, Vera Odintsova, Natalya Klimenko, Robert Loshkarev, Maria Pashkova, Anna Elizarova, Viktoriya Voroshilova, Sergei Slavskii, Yury Pekov, Ekaterina Filippova, Tatiana Shashkova, Evgenii Levin, Dmitry Alexeev |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 41% |
| Student > Master | 5 | 13% |
| Lecturer | 4 | 10% |
| Student > Ph. D. Student | 4 | 10% |
| Student > Bachelor | 2 | 5% |
| Other | 6 | 15% |
| Unknown | 2 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 11 | 28% |
| Agricultural and Biological Sciences | 4 | 10% |
| Immunology and Microbiology | 3 | 8% |
| Medicine and Dentistry | 3 | 8% |
| Chemistry | 2 | 5% |
| Other | 13 | 33% |
| Unknown | 3 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 28. 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 27 December 2021.
All research outputs
#1,179,771
of 22,769,322 outputs
Outputs from BioData Mining
#16
of 307 outputs
Outputs of similar age
#28,338
of 351,316 outputs
Outputs of similar age from BioData Mining
#1
of 5 outputs
Altmetric has tracked 22,769,322 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 307 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. 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 351,316 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 91% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them