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X Demographics
Mendeley readers
Attention Score in Context
| Title |
VOLARE: visual analysis of disease-associated microbiome-immune system interplay
|
|---|---|
| Published in |
BMC Bioinformatics, August 2019
|
| DOI | 10.1186/s12859-019-3021-0 |
| Pubmed ID | |
| Authors |
Janet C. Siebert, Charles Preston Neff, Jennifer M. Schneider, Emilie H. Regner, Neha Ohri, Kristine A. Kuhn, Brent E. Palmer, Catherine A. Lozupone, Carsten Görg |
X Demographics
The data shown below were collected from the profiles of 10 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 | 2 | 20% |
| Brazil | 1 | 10% |
| India | 1 | 10% |
| Unknown | 6 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 50% |
| Scientists | 4 | 40% |
| Practitioners (doctors, other healthcare professionals) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 50 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 24% |
| Researcher | 11 | 22% |
| Student > Master | 4 | 8% |
| Student > Bachelor | 3 | 6% |
| Lecturer | 3 | 6% |
| Other | 7 | 14% |
| Unknown | 10 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 11 | 22% |
| Agricultural and Biological Sciences | 6 | 12% |
| Immunology and Microbiology | 6 | 12% |
| Medicine and Dentistry | 6 | 12% |
| Computer Science | 4 | 8% |
| Other | 6 | 12% |
| Unknown | 11 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 06 March 2020.
All research outputs
#2,617,521
of 23,881,329 outputs
Outputs from BMC Bioinformatics
#792
of 7,454 outputs
Outputs of similar age
#54,800
of 344,501 outputs
Outputs of similar age from BMC Bioinformatics
#16
of 100 outputs
Altmetric has tracked 23,881,329 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 7,454 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 89% 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 344,501 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 84% of its contemporaries.
We're also able to compare this research output to 100 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.