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Attention Score in Context
Title |
Metatranscriptomes from diverse microbial communities: assessment of data reduction techniques for rigorous annotation
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Published in |
BMC Genomics, October 2014
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DOI | 10.1186/1471-2164-15-901 |
Pubmed ID | |
Authors |
Andrew Toseland, Simon Moxon, Thomas Mock, Vincent Moulton |
Abstract |
Metatranscriptome sequence data can contain highly redundant sequences from diverse populations of microbes and so data reduction techniques are often applied before taxonomic and functional annotation. For metagenomic data, it has been observed that the variable coverage and presence of closely related organisms can lead to fragmented assemblies containing chimeric contigs that may reduce the accuracy of downstream analyses and some advocate the use of alternate data reduction techniques. However, it is unclear how such data reduction techniques impact the annotation of metatranscriptome data and thus affect the interpretation of the results. |
X Demographics
The data shown below were collected from the profiles of 8 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 | 25% |
China | 1 | 13% |
United Kingdom | 1 | 13% |
Netherlands | 1 | 13% |
Unknown | 3 | 38% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 50% |
Scientists | 3 | 38% |
Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 3 | 3% |
United Kingdom | 3 | 3% |
United States | 3 | 3% |
France | 2 | 2% |
Brazil | 1 | <1% |
Sweden | 1 | <1% |
Australia | 1 | <1% |
Canada | 1 | <1% |
Chile | 1 | <1% |
Other | 2 | 2% |
Unknown | 95 | 84% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 36 | 32% |
Researcher | 22 | 19% |
Student > Master | 16 | 14% |
Professor > Associate Professor | 9 | 8% |
Other | 6 | 5% |
Other | 11 | 10% |
Unknown | 13 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 59 | 52% |
Environmental Science | 12 | 11% |
Biochemistry, Genetics and Molecular Biology | 11 | 10% |
Computer Science | 6 | 5% |
Earth and Planetary Sciences | 5 | 4% |
Other | 4 | 4% |
Unknown | 16 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 13 June 2015.
All research outputs
#7,959,162
of 25,371,288 outputs
Outputs from BMC Genomics
#3,479
of 11,244 outputs
Outputs of similar age
#81,172
of 268,054 outputs
Outputs of similar age from BMC Genomics
#83
of 294 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 67% 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 268,054 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 294 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 70% of its contemporaries.