| Title |
Unifying the analysis of high-throughput sequencing datasets: characterizing RNA-seq, 16S rRNA gene sequencing and selective growth experiments by compositional data analysis
|
|---|---|
| Published in |
Microbiome, May 2014
|
| DOI | 10.1186/2049-2618-2-15 |
| Pubmed ID | |
| Authors |
Andrew D Fernandes, Jennifer NS Reid, Jean M Macklaim, Thomas A McMurrough, David R Edgell, Gregory B Gloor |
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 States | 2 | 20% |
| Mexico | 1 | 10% |
| India | 1 | 10% |
| France | 1 | 10% |
| Unknown | 5 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 80% |
| Scientists | 2 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 763 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 1% |
| Germany | 4 | <1% |
| United Kingdom | 4 | <1% |
| Brazil | 2 | <1% |
| Canada | 2 | <1% |
| Spain | 2 | <1% |
| India | 1 | <1% |
| Denmark | 1 | <1% |
| Norway | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 736 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 159 | 21% |
| Student > Ph. D. Student | 139 | 18% |
| Student > Master | 109 | 14% |
| Student > Bachelor | 57 | 7% |
| Student > Doctoral Student | 51 | 7% |
| Other | 109 | 14% |
| Unknown | 139 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 227 | 30% |
| Biochemistry, Genetics and Molecular Biology | 132 | 17% |
| Immunology and Microbiology | 50 | 7% |
| Environmental Science | 47 | 6% |
| Medicine and Dentistry | 27 | 4% |
| Other | 105 | 14% |
| Unknown | 175 | 23% |
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 01 December 2022.
All research outputs
#1,870,035
of 25,837,817 outputs
Outputs from Microbiome
#701
of 1,790 outputs
Outputs of similar age
#18,235
of 243,992 outputs
Outputs of similar age from Microbiome
#5
of 11 outputs
Altmetric has tracked 25,837,817 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 1,790 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 37.9. This one has gotten more attention than average, scoring higher than 60% 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 243,992 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 92% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.