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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A-GAME: improving the assembly of pooled functional metagenomics sequence data
|
|---|---|
| Published in |
BMC Genomics, January 2018
|
| DOI | 10.1186/s12864-017-4369-z |
| Pubmed ID | |
| Authors |
Matteo Chiara, Antonio Placido, Ernesto Picardi, Luigi Ruggiero Ceci, David Stephen Horner, Graziano Pesole |
| Abstract |
Expression screening of environmental DNA (eDNA) libraries is a popular approach for the identification and characterization of novel microbial enzymes with promising biotechnological properties. In such "functional metagenomics" experiments, inserts, selected on the basis of activity assays, are sequenced with high throughput sequencing technologies. Assembly is followed by gene prediction, annotation and identification of candidate genes that are subsequently evaluated for biotechnological applications. Here we present A-GAME (A GAlaxy suite for functional MEtagenomics), a web service incorporating state of the art tools and workflows for the analysis of eDNA sequence data. We illustrate the potential of A-GAME workflows using real functional metagenomics data, showing that they outperform alternative metagenomics assemblers. Dedicated tools available in A-GAME allow efficient analysis of pooled libraries and rapid identification of candidate genes, reducing sequencing costs and saving the need for laborious manual annotation. In conclusion, we believe A-GAME will constitute a valuable resource for the functional metagenomics community. A-GAME is publicly available at http://beaconlab.it/agame. |
X Demographics
The data shown below were collected from the profiles of 27 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 | 5 | 19% |
| India | 2 | 7% |
| France | 1 | 4% |
| United Kingdom | 1 | 4% |
| Denmark | 1 | 4% |
| Spain | 1 | 4% |
| Italy | 1 | 4% |
| China | 1 | 4% |
| Chile | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 12 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 52% |
| Scientists | 12 | 44% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 54 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 24% |
| Student > Ph. D. Student | 11 | 20% |
| Student > Bachelor | 6 | 11% |
| Professor > Associate Professor | 5 | 9% |
| Student > Doctoral Student | 3 | 6% |
| Other | 9 | 17% |
| Unknown | 7 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 23 | 43% |
| Biochemistry, Genetics and Molecular Biology | 11 | 20% |
| Computer Science | 3 | 6% |
| Engineering | 2 | 4% |
| Environmental Science | 1 | 2% |
| Other | 4 | 7% |
| Unknown | 10 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 12 February 2018.
All research outputs
#1,702,667
of 24,885,505 outputs
Outputs from BMC Genomics
#355
of 11,098 outputs
Outputs of similar age
#39,234
of 454,809 outputs
Outputs of similar age from BMC Genomics
#6
of 214 outputs
Altmetric has tracked 24,885,505 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,098 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 96% 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 454,809 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 91% of its contemporaries.
We're also able to compare this research output to 214 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 97% of its contemporaries.