| Title |
Kendrick Mass Defect Approach Combined to NORINE Database for Molecular Formula Assignment of Nonribosomal Peptides
|
|---|---|
| Published in |
Journal of the American Society for Mass Spectrometry, October 2019
|
| DOI | 10.1007/s13361-019-02314-3 |
| Pubmed ID | |
| Authors |
Mickaël Chevalier, Emma Ricart, Emeline Hanozin, Maude Pupin, Philippe Jacques, Nicolas Smargiasso, Edwin De Pauw, Frédérique Lisacek, Valérie Leclère, Christophe Flahaut |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 25% |
| United States | 1 | 25% |
| Australia | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 1 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 35% |
| Student > Master | 3 | 15% |
| Other | 3 | 15% |
| Professor > Associate Professor | 2 | 10% |
| Student > Postgraduate | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 4 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 5 | 25% |
| Biochemistry, Genetics and Molecular Biology | 3 | 15% |
| Agricultural and Biological Sciences | 2 | 10% |
| Computer Science | 1 | 5% |
| Earth and Planetary Sciences | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 7 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 12 August 2020.
All research outputs
#16,733,516
of 25,387,668 outputs
Outputs from Journal of the American Society for Mass Spectrometry
#2,588
of 3,835 outputs
Outputs of similar age
#228,521
of 376,809 outputs
Outputs of similar age from Journal of the American Society for Mass Spectrometry
#24
of 54 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,835 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 29th percentile – i.e., 29% 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 376,809 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.