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Mendeley readers
Attention Score in Context
Title |
Next-generation sequencing technologies and their impact on microbial genomics
|
---|---|
Published in |
Briefings in Functional Genomics, January 2013
|
DOI | 10.1093/bfgp/els062 |
Pubmed ID | |
Authors |
B. M. Forde, P. W. O'Toole |
Abstract |
Next-generation sequencing technologies have had a dramatic impact in the field of genomic research through the provision of a low cost, high-throughput alternative to traditional capillary sequencers. These new sequencing methods have surpassed their original scope and now provide a range of utility-based applications, which allow for a more comprehensive analysis of the structure and content of microbial genomes than was previously possible. With the commercialization of a third generation of sequencing technologies imminent, we discuss the applications of current next-generation sequencing methods and explore their impact on and contribution to microbial genome research. |
X Demographics
The data shown below were collected from the profiles of 6 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 | 50% |
India | 2 | 33% |
United Kingdom | 1 | 17% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 3 | 50% |
Members of the public | 3 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 245 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 3 | 1% |
Germany | 2 | <1% |
United States | 2 | <1% |
Malaysia | 1 | <1% |
Ireland | 1 | <1% |
Switzerland | 1 | <1% |
Sweden | 1 | <1% |
South Africa | 1 | <1% |
Finland | 1 | <1% |
Other | 5 | 2% |
Unknown | 227 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 64 | 26% |
Researcher | 45 | 18% |
Student > Master | 44 | 18% |
Student > Bachelor | 20 | 8% |
Student > Doctoral Student | 12 | 5% |
Other | 33 | 13% |
Unknown | 27 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 112 | 46% |
Biochemistry, Genetics and Molecular Biology | 43 | 18% |
Immunology and Microbiology | 16 | 7% |
Medicine and Dentistry | 9 | 4% |
Environmental Science | 8 | 3% |
Other | 20 | 8% |
Unknown | 37 | 15% |
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 27 May 2014.
All research outputs
#2,747,626
of 22,693,205 outputs
Outputs from Briefings in Functional Genomics
#52
of 440 outputs
Outputs of similar age
#29,468
of 282,285 outputs
Outputs of similar age from Briefings in Functional Genomics
#1
of 9 outputs
Altmetric has tracked 22,693,205 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 440 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done well, scoring higher than 88% 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 282,285 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 89% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them