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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A framework for assessing 16S rRNA marker-gene survey data analysis methods using mixtures.
|
|---|---|
| Published in |
Microbiome, March 2020
|
| DOI | 10.1186/s40168-020-00812-1 |
| Pubmed ID | |
| Authors |
Nathan D. Olson, M. Senthil Kumar, Shan Li, Domenick J. Braccia, Stephanie Hao, Winston Timp, Marc L. Salit, O. Colin Stine, Hector Corrada Bravo |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 3 | 27% |
| United States | 2 | 18% |
| Germany | 1 | 9% |
| Australia | 1 | 9% |
| India | 1 | 9% |
| United Kingdom | 1 | 9% |
| Unknown | 2 | 18% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 55% |
| Members of the public | 5 | 45% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 26% |
| Researcher | 5 | 14% |
| Student > Master | 4 | 11% |
| Student > Postgraduate | 3 | 9% |
| Student > Bachelor | 3 | 9% |
| Other | 2 | 6% |
| Unknown | 9 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 17% |
| Agricultural and Biological Sciences | 5 | 14% |
| Environmental Science | 3 | 9% |
| Medicine and Dentistry | 2 | 6% |
| Immunology and Microbiology | 2 | 6% |
| Other | 4 | 11% |
| Unknown | 13 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 April 2020.
All research outputs
#1,738,027
of 24,143,470 outputs
Outputs from Microbiome
#666
of 1,601 outputs
Outputs of similar age
#40,898
of 368,067 outputs
Outputs of similar age from Microbiome
#28
of 50 outputs
Altmetric has tracked 24,143,470 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,601 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.4. This one has gotten more attention than average, scoring higher than 58% 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 368,067 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 88% of its contemporaries.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.