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Mendeley readers
Attention Score in Context
| Chapter title |
Characterization of Nonribosomal Peptide Synthetases with NRPSsp.
|
|---|---|
| Chapter number | 17 |
| Book title |
Nonribosomal Peptide and Polyketide Biosynthesis
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3375-4_17 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3373-0, 978-1-4939-3375-4
|
| Authors |
Prieto, Carlos, Carlos Prieto |
| Abstract |
Bioinformatic sequence analysis allows the functional characterization of newly sequenced proteins. Nonribosomal peptide synthetases (NRPSs) are multi-modular enzymes involved in the biosynthesis of natural products. The current omics era has enabled the exponential growth of the sequenced NRPS, and it is important to characterize the final product of these synthetases. Here, how to achieve the prediction of substrates which bind to adenylation domains in NRPS with NRPSsp ( www.nrpssp.com ) bioinformatic tool is described. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 11% |
| Unknown | 8 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 33% |
| Researcher | 2 | 22% |
| Student > Bachelor | 1 | 11% |
| Student > Master | 1 | 11% |
| Student > Doctoral Student | 1 | 11% |
| Other | 0 | 0% |
| Unknown | 1 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 22% |
| Agricultural and Biological Sciences | 2 | 22% |
| Chemistry | 2 | 22% |
| Medicine and Dentistry | 1 | 11% |
| Immunology and Microbiology | 1 | 11% |
| Other | 0 | 0% |
| Unknown | 1 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 03 February 2016.
All research outputs
#18,437,241
of 22,842,950 outputs
Outputs from Methods in molecular biology
#7,922
of 13,127 outputs
Outputs of similar age
#284,426
of 393,571 outputs
Outputs of similar age from Methods in molecular biology
#846
of 1,470 outputs
Altmetric has tracked 22,842,950 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,127 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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 393,571 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,470 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.