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X Demographics
Mendeley readers
Attention Score in Context
| Title |
HastaLaVista, a web-based user interface for NMR-based untargeted metabolic profiling analysis in biomedical sciences: towards a new publication standard
|
|---|---|
| Published in |
Journal of Cheminformatics, December 2019
|
| DOI | 10.1186/s13321-019-0399-7 |
| Pubmed ID | |
| Authors |
Julien Wist |
X Demographics
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 2 | 17% |
| United States | 1 | 8% |
| Guinea | 1 | 8% |
| Canada | 1 | 8% |
| Unknown | 7 | 58% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 42% |
| Members of the public | 5 | 42% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 18% |
| Researcher | 3 | 18% |
| Student > Ph. D. Student | 2 | 12% |
| Professor > Associate Professor | 2 | 12% |
| Student > Doctoral Student | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 6 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 3 | 18% |
| Biochemistry, Genetics and Molecular Biology | 2 | 12% |
| Computer Science | 1 | 6% |
| Social Sciences | 1 | 6% |
| Medicine and Dentistry | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 8 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 16 December 2019.
All research outputs
#6,410,340
of 25,163,238 outputs
Outputs from Journal of Cheminformatics
#500
of 946 outputs
Outputs of similar age
#126,773
of 472,883 outputs
Outputs of similar age from Journal of Cheminformatics
#13
of 20 outputs
Altmetric has tracked 25,163,238 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 946 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 46th percentile – i.e., 46% 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 472,883 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 73% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.