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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Open-Access Metabolomics Databases for Natural Product Research: Present Capabilities and Future Potential
|
|---|---|
| Published in |
Frontiers in Bioengineering and Biotechnology, March 2015
|
| DOI | 10.3389/fbioe.2015.00022 |
| Pubmed ID | |
| Authors |
Sean R. Johnson, Bernd Markus Lange |
| Abstract |
Various databases have been developed to aid in assigning structures to spectral peaks observed in metabolomics experiments. In this review article, we discuss the utility of currently available open-access spectral and chemical databases for natural products discovery. We also provide recommendations on how the research community can contribute to further improvements. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 330 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | <1% |
| Saudi Arabia | 1 | <1% |
| Brazil | 1 | <1% |
| Nigeria | 1 | <1% |
| Belgium | 1 | <1% |
| Unknown | 324 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 59 | 18% |
| Researcher | 52 | 16% |
| Student > Master | 44 | 13% |
| Student > Bachelor | 29 | 9% |
| Student > Doctoral Student | 21 | 6% |
| Other | 68 | 21% |
| Unknown | 57 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 77 | 23% |
| Chemistry | 70 | 21% |
| Biochemistry, Genetics and Molecular Biology | 50 | 15% |
| Pharmacology, Toxicology and Pharmaceutical Science | 20 | 6% |
| Computer Science | 8 | 2% |
| Other | 33 | 10% |
| Unknown | 72 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 01 January 2017.
All research outputs
#6,415,132
of 22,793,427 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#990
of 6,524 outputs
Outputs of similar age
#73,934
of 257,855 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#9
of 43 outputs
Altmetric has tracked 22,793,427 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 6,524 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 84% 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 257,855 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.