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X Demographics
Mendeley readers
Attention Score in Context
| Title |
rBAN: retro-biosynthetic analysis of nonribosomal peptides
|
|---|---|
| Published in |
Journal of Cheminformatics, February 2019
|
| DOI | 10.1186/s13321-019-0335-x |
| Pubmed ID | |
| Authors |
Emma Ricart, Valérie Leclère, Areski Flissi, Markus Mueller, Maude Pupin, Frédérique Lisacek |
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 % |
|---|---|---|
| Australia | 1 | 17% |
| Russia | 1 | 17% |
| Switzerland | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 30% |
| Researcher | 6 | 22% |
| Student > Bachelor | 1 | 4% |
| Other | 1 | 4% |
| Professor > Associate Professor | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 10 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 9 | 33% |
| Agricultural and Biological Sciences | 2 | 7% |
| Computer Science | 1 | 4% |
| Chemistry | 1 | 4% |
| Unknown | 14 | 52% |
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 11 February 2019.
All research outputs
#7,232,472
of 24,079,942 outputs
Outputs from Journal of Cheminformatics
#566
of 886 outputs
Outputs of similar age
#145,978
of 446,924 outputs
Outputs of similar age from Journal of Cheminformatics
#13
of 24 outputs
Altmetric has tracked 24,079,942 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 886 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 35th percentile – i.e., 35% 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 446,924 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 67% of its contemporaries.
We're also able to compare this research output to 24 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 50% of its contemporaries.