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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Current and future resources for functional metagenomics
|
|---|---|
| Published in |
Frontiers in Microbiology, October 2015
|
| DOI | 10.3389/fmicb.2015.01196 |
| Pubmed ID | |
| Authors |
Kathy N. Lam, Jiujun Cheng, Katja Engel, Josh D. Neufeld, Trevor C. Charles |
| Abstract |
Functional metagenomics is a powerful experimental approach for studying gene function, starting from the extracted DNA of mixed microbial populations. A functional approach relies on the construction and screening of metagenomic libraries-physical libraries that contain DNA cloned from environmental metagenomes. The information obtained from functional metagenomics can help in future annotations of gene function and serve as a complement to sequence-based metagenomics. In this Perspective, we begin by summarizing the technical challenges of constructing metagenomic libraries and emphasize their value as resources. We then discuss libraries constructed using the popular cloning vector, pCC1FOS, and highlight the strengths and shortcomings of this system, alongside possible strategies to maximize existing pCC1FOS-based libraries by screening in diverse hosts. Finally, we discuss the known bias of libraries constructed from human gut and marine water samples, present results that suggest bias may also occur for soil libraries, and consider factors that bias metagenomic libraries in general. We anticipate that discussion of current resources and limitations will advance tools and technologies for functional metagenomics research. |
X Demographics
The data shown below were collected from the profiles of 16 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 | 3 | 19% |
| Canada | 2 | 13% |
| Denmark | 1 | 6% |
| France | 1 | 6% |
| Netherlands | 1 | 6% |
| Switzerland | 1 | 6% |
| Unknown | 7 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 10 | 63% |
| Members of the public | 6 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 486 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | <1% |
| Canada | 2 | <1% |
| Germany | 1 | <1% |
| Italy | 1 | <1% |
| Portugal | 1 | <1% |
| Belgium | 1 | <1% |
| Denmark | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 476 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 111 | 23% |
| Student > Master | 73 | 15% |
| Researcher | 68 | 14% |
| Student > Bachelor | 68 | 14% |
| Student > Doctoral Student | 30 | 6% |
| Other | 55 | 11% |
| Unknown | 81 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 148 | 30% |
| Biochemistry, Genetics and Molecular Biology | 122 | 25% |
| Immunology and Microbiology | 29 | 6% |
| Environmental Science | 26 | 5% |
| Engineering | 12 | 2% |
| Other | 44 | 9% |
| Unknown | 105 | 22% |
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 04 February 2019.
All research outputs
#3,191,343
of 25,381,384 outputs
Outputs from Frontiers in Microbiology
#2,745
of 29,179 outputs
Outputs of similar age
#42,782
of 292,482 outputs
Outputs of similar age from Frontiers in Microbiology
#36
of 424 outputs
Altmetric has tracked 25,381,384 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 29,179 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. 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 292,482 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 424 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 91% of its contemporaries.