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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Examining the predictive accuracy of the novel 3D N-linear algebraic molecular codifications on benchmark datasets
|
|---|---|
| Published in |
Journal of Cheminformatics, February 2016
|
| DOI | 10.1186/s13321-016-0122-x |
| Pubmed ID | |
| Authors |
César R. García-Jacas, Ernesto Contreras-Torres, Yovani Marrero-Ponce, Mario Pupo-Meriño, Stephen J. Barigye, Lisset Cabrera-Leyva |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Cuba | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 21% |
| Student > Master | 5 | 13% |
| Professor | 4 | 10% |
| Student > Doctoral Student | 3 | 8% |
| Student > Ph. D. Student | 3 | 8% |
| Other | 7 | 18% |
| Unknown | 9 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 18% |
| Chemistry | 6 | 15% |
| Agricultural and Biological Sciences | 5 | 13% |
| Engineering | 3 | 8% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Other | 6 | 15% |
| Unknown | 10 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 02 January 2018.
All research outputs
#17,932,284
of 26,017,215 outputs
Outputs from Journal of Cheminformatics
#874
of 984 outputs
Outputs of similar age
#195,501
of 316,365 outputs
Outputs of similar age from Journal of Cheminformatics
#15
of 17 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 984 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one is in the 6th percentile – i.e., 6% 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 316,365 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.