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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MITRE: inferring features from microbiota time-series data linked to host status
|
|---|---|
| Published in |
Genome Biology, September 2019
|
| DOI | 10.1186/s13059-019-1788-y |
| Pubmed ID | |
| Authors |
Elijah Bogart, Richard Creswell, Georg K. Gerber |
X Demographics
The data shown below were collected from the profiles of 16 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 | 6 | 38% |
| Spain | 1 | 6% |
| Germany | 1 | 6% |
| India | 1 | 6% |
| Czechia | 1 | 6% |
| Austria | 1 | 6% |
| United Kingdom | 1 | 6% |
| Unknown | 4 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 56% |
| Scientists | 6 | 38% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 131 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 27 | 21% |
| Student > Ph. D. Student | 22 | 17% |
| Student > Master | 19 | 15% |
| Student > Bachelor | 6 | 5% |
| Professor | 5 | 4% |
| Other | 16 | 12% |
| Unknown | 36 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 23 | 18% |
| Agricultural and Biological Sciences | 16 | 12% |
| Computer Science | 10 | 8% |
| Immunology and Microbiology | 9 | 7% |
| Medicine and Dentistry | 6 | 5% |
| Other | 20 | 15% |
| Unknown | 47 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 05 October 2019.
All research outputs
#2,418,411
of 25,385,509 outputs
Outputs from Genome Biology
#1,965
of 4,470 outputs
Outputs of similar age
#48,683
of 350,097 outputs
Outputs of similar age from Genome Biology
#44
of 63 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% 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 56% 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 350,097 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 86% of its contemporaries.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.