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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A review of software for analyzing molecular sequences
|
|---|---|
| Published in |
BMC Research Notes, November 2014
|
| DOI | 10.1186/1756-0500-7-830 |
| Pubmed ID | |
| Authors |
Haema Nilakanta, Kimberly L Drews, Suzanne Firrell, Mary A Foulkes, Kathleen A Jablonski |
| Abstract |
Over the past ten years, there has been an explosion of microbiome research. Many software packages for analyzing microbial sequences such as the 16S gene from 454 sequencers and Illumina platforms are available. But for a new researcher, it is difficult to know which package to choose. We present a systematic review of packages for the analysis of molecular sequences used to describe and compare microbial communities. This review gives students and researchers information to help choose the best analytic pipeline for their project. To the best of our knowledge, this is the first review of such software. |
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 % |
|---|---|---|
| India | 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 172 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| Brazil | 2 | 1% |
| Germany | 1 | <1% |
| Sweden | 1 | <1% |
| Italy | 1 | <1% |
| Canada | 1 | <1% |
| India | 1 | <1% |
| Unknown | 162 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 36 | 21% |
| Student > Master | 30 | 17% |
| Researcher | 29 | 17% |
| Student > Doctoral Student | 17 | 10% |
| Student > Bachelor | 8 | 5% |
| Other | 23 | 13% |
| Unknown | 29 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 79 | 46% |
| Biochemistry, Genetics and Molecular Biology | 26 | 15% |
| Environmental Science | 10 | 6% |
| Medicine and Dentistry | 8 | 5% |
| Veterinary Science and Veterinary Medicine | 5 | 3% |
| Other | 9 | 5% |
| Unknown | 35 | 20% |
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 05 December 2014.
All research outputs
#14,205,797
of 22,772,779 outputs
Outputs from BMC Research Notes
#1,949
of 4,263 outputs
Outputs of similar age
#192,090
of 361,959 outputs
Outputs of similar age from BMC Research Notes
#42
of 110 outputs
Altmetric has tracked 22,772,779 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,263 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 50% 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 361,959 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 110 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 58% of its contemporaries.