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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Analyzing the Metabolome
|
|---|---|
| Chapter number | 3 |
| Book title |
Clinical Bioinformatics
|
| Published in |
Methods in molecular biology, January 2014
|
| DOI | 10.1007/978-1-4939-0847-9_3 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-0846-2, 978-1-4939-0847-9
|
| Authors |
Francis G. Bowling, Mervyn Thomas |
| Abstract |
Metabolites, the chemical entities that are transformed during metabolism, provide a functional readout of cellular biochemistry that offers the best prediction of the phenotype and the nature of a disease. Mass spectrometry now allows thousands of metabolites to be quantitated. The targeted or untargeted data from metabolic profiling can be combined with either supervised or unsupervised approaches to improve interpretation. These sophisticated statistical techniques are computationally intensive. This chapter reviews techniques applicable to metabolomics approaches to disease. |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 4% |
| Australia | 1 | 4% |
| Unknown | 26 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 18% |
| Student > Ph. D. Student | 4 | 14% |
| Student > Master | 4 | 14% |
| Professor > Associate Professor | 3 | 11% |
| Student > Bachelor | 3 | 11% |
| Other | 4 | 14% |
| Unknown | 5 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 21% |
| Biochemistry, Genetics and Molecular Biology | 5 | 18% |
| Chemistry | 4 | 14% |
| Medicine and Dentistry | 2 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 8 | 29% |
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 July 2014.
All research outputs
#18,374,472
of 22,758,248 outputs
Outputs from Methods in molecular biology
#7,868
of 13,089 outputs
Outputs of similar age
#229,374
of 305,255 outputs
Outputs of similar age from Methods in molecular biology
#294
of 597 outputs
Altmetric has tracked 22,758,248 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 13,089 research outputs from this source. They receive a mean Attention Score of 3.3. 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 305,255 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 597 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.