Title |
Where Next for Microbiome Research?
|
---|---|
Published in |
PLoS Biology, January 2015
|
DOI | 10.1371/journal.pbio.1002050 |
Pubmed ID | |
Authors |
Matthew K. Waldor, Gene Tyson, Elhanan Borenstein, Howard Ochman, Andrew Moeller, B. Brett Finlay, Heidi H. Kong, Jeffrey I. Gordon, Karen E. Nelson, Karim Dabbagh, Hamilton Smith |
Abstract |
The development of high-throughput sequencing technologies has transformed our capacity to investigate the composition and dynamics of the microbial communities that populate diverse habitats. Over the past decade, these advances have yielded an avalanche of metagenomic data. The current stage of "van Leeuwenhoek"-like cataloguing, as well as functional analyses, will likely accelerate as DNA and RNA sequencing, plus protein and metabolic profiling capacities and computational tools, continue to improve. However, it is time to consider: what's next for microbiome research? The short pieces included here briefly consider the challenges and opportunities awaiting microbiome research. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 13 | 24% |
United States | 7 | 13% |
Canada | 4 | 7% |
United Kingdom | 3 | 5% |
Spain | 3 | 5% |
Ecuador | 1 | 2% |
Japan | 1 | 2% |
Portugal | 1 | 2% |
Germany | 1 | 2% |
Other | 6 | 11% |
Unknown | 15 | 27% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 38 | 69% |
Scientists | 14 | 25% |
Practitioners (doctors, other healthcare professionals) | 2 | 4% |
Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 17 | 2% |
France | 3 | <1% |
Canada | 3 | <1% |
Denmark | 3 | <1% |
Belgium | 3 | <1% |
United Kingdom | 3 | <1% |
India | 2 | <1% |
Spain | 2 | <1% |
Taiwan | 2 | <1% |
Other | 10 | 1% |
Unknown | 679 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 172 | 24% |
Researcher | 164 | 23% |
Student > Master | 95 | 13% |
Student > Bachelor | 53 | 7% |
Other | 39 | 5% |
Other | 127 | 17% |
Unknown | 77 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 303 | 42% |
Biochemistry, Genetics and Molecular Biology | 103 | 14% |
Immunology and Microbiology | 50 | 7% |
Medicine and Dentistry | 50 | 7% |
Computer Science | 24 | 3% |
Other | 98 | 13% |
Unknown | 99 | 14% |