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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Flexible heuristic algorithm for automatic molecule fragmentation: application to the UNIFAC group contribution model
|
|---|---|
| Published in |
Journal of Cheminformatics, August 2019
|
| DOI | 10.1186/s13321-019-0382-3 |
| Pubmed ID | |
| Authors |
Simon Müller |
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 % |
|---|---|---|
| China | 1 | 25% |
| India | 1 | 25% |
| Unknown | 2 | 50% |
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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 26% |
| Student > Master | 6 | 14% |
| Researcher | 5 | 12% |
| Professor > Associate Professor | 4 | 9% |
| Student > Bachelor | 3 | 7% |
| Other | 2 | 5% |
| Unknown | 12 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 9 | 21% |
| Chemical Engineering | 6 | 14% |
| Chemistry | 6 | 14% |
| Computer Science | 3 | 7% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Other | 3 | 7% |
| Unknown | 14 | 33% |
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 04 September 2019.
All research outputs
#14,366,444
of 24,143,470 outputs
Outputs from Journal of Cheminformatics
#712
of 891 outputs
Outputs of similar age
#175,162
of 345,874 outputs
Outputs of similar age from Journal of Cheminformatics
#13
of 16 outputs
Altmetric has tracked 24,143,470 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 891 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one is in the 17th percentile – i.e., 17% 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 345,874 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.