You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Analysis of 16S rRNA environmental sequences using MEGAN
|
|---|---|
| Published in |
BMC Genomics, November 2011
|
| DOI | 10.1186/1471-2164-12-s3-s17 |
| Pubmed ID | |
| Authors |
Suparna Mitra, Mario Stärk, Daniel H Huson |
| Abstract |
Metagenomics is a rapidly growing field of research aimed at studying assemblages of uncultured organisms using various sequencing technologies, with the hope of understanding the true diversity of microbes, their functions, cooperation and evolution. There are two main approaches to metagenomics: amplicon sequencing, which involves PCR-targeted sequencing of a specific locus, often 16S rRNA, and random shotgun sequencing. Several tools or packages have been developed for analyzing communities using 16S rRNA sequences. Similarly, a number of tools exist for analyzing randomly sequenced DNA reads. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 217 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 3 | 1% |
| Brazil | 3 | 1% |
| Germany | 2 | <1% |
| Estonia | 2 | <1% |
| Canada | 2 | <1% |
| Norway | 1 | <1% |
| Australia | 1 | <1% |
| Italy | 1 | <1% |
| Portugal | 1 | <1% |
| Other | 7 | 3% |
| Unknown | 194 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 55 | 25% |
| Researcher | 41 | 19% |
| Student > Master | 33 | 15% |
| Student > Doctoral Student | 15 | 7% |
| Student > Bachelor | 13 | 6% |
| Other | 35 | 16% |
| Unknown | 25 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 115 | 53% |
| Biochemistry, Genetics and Molecular Biology | 36 | 17% |
| Environmental Science | 10 | 5% |
| Computer Science | 9 | 4% |
| Immunology and Microbiology | 5 | 2% |
| Other | 13 | 6% |
| Unknown | 29 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 20 April 2021.
All research outputs
#3,274,623
of 25,374,647 outputs
Outputs from BMC Genomics
#1,093
of 11,244 outputs
Outputs of similar age
#24,028
of 246,010 outputs
Outputs of similar age from BMC Genomics
#7
of 134 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 90% 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 246,010 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 90% of its contemporaries.
We're also able to compare this research output to 134 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.