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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Genboree Microbiome Toolset and the analysis of 16S rRNA microbial sequences
|
|---|---|
| Published in |
BMC Bioinformatics, August 2012
|
| DOI | 10.1186/1471-2105-13-s13-s11 |
| Pubmed ID | |
| Authors |
Kevin Riehle, Cristian Coarfa, Andrew Jackson, Jun Ma, Arpit Tandon, Sameer Paithankar, Sriram Raghuraman, Toni-Ann Mistretta, Delphine Saulnier, Sabeen Raza, Maria Alejandra Diaz, Robert Shulman, Kjersti Aagaard, James Versalovic, Aleksandar Milosavljevic |
| Abstract |
Microbial metagenomic analyses rely on an increasing number of publicly available tools. Installation, integration, and maintenance of the tools poses significant burden on many researchers and creates a barrier to adoption of microbiome analysis, particularly in translational settings. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 33% |
| Australia | 1 | 33% |
| United States | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 168 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 3% |
| Brazil | 4 | 2% |
| Estonia | 2 | 1% |
| France | 1 | <1% |
| Germany | 1 | <1% |
| Italy | 1 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 153 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 45 | 27% |
| Student > Ph. D. Student | 33 | 20% |
| Student > Master | 19 | 11% |
| Student > Bachelor | 13 | 8% |
| Other | 9 | 5% |
| Other | 27 | 16% |
| Unknown | 22 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 64 | 38% |
| Medicine and Dentistry | 22 | 13% |
| Biochemistry, Genetics and Molecular Biology | 13 | 8% |
| Immunology and Microbiology | 6 | 4% |
| Computer Science | 5 | 3% |
| Other | 19 | 11% |
| Unknown | 39 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 26 May 2013.
All research outputs
#14,753,796
of 22,711,242 outputs
Outputs from BMC Bioinformatics
#5,036
of 7,259 outputs
Outputs of similar age
#104,215
of 169,386 outputs
Outputs of similar age from BMC Bioinformatics
#62
of 99 outputs
Altmetric has tracked 22,711,242 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,259 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
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 169,386 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 99 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.