| Title |
Novel global and local 3D atom-based linear descriptors of the Minkowski distance matrix: theory, diversity–variability analysis and QSPR applications
|
|---|---|
| Published in |
Journal of Mathematical Chemistry, July 2015
|
| DOI | 10.1007/s10910-015-0533-3 |
| Authors |
Néstor Cubillán, Yovani Marrero-Ponce, Harold Ariza-Rico, Stephen J. Barigye, César R. García-Jacas, José R. Valdes-Martini, Ysaías J. Alvarado |
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 % |
|---|---|---|
| Venezuela, Bolivarian Republic of | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 7% |
| Unknown | 14 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 3 | 20% |
| Researcher | 3 | 20% |
| Professor > Associate Professor | 2 | 13% |
| Other | 1 | 7% |
| Student > Ph. D. Student | 1 | 7% |
| Other | 3 | 20% |
| Unknown | 2 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 4 | 27% |
| Computer Science | 2 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 7% |
| Biochemistry, Genetics and Molecular Biology | 1 | 7% |
| Unspecified | 1 | 7% |
| Other | 4 | 27% |
| Unknown | 2 | 13% |
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 13 August 2015.
All research outputs
#15,342,608
of 22,821,814 outputs
Outputs from Journal of Mathematical Chemistry
#84
of 159 outputs
Outputs of similar age
#154,411
of 263,988 outputs
Outputs of similar age from Journal of Mathematical Chemistry
#2
of 2 outputs
Altmetric has tracked 22,821,814 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 159 research outputs from this source. They receive a mean Attention Score of 2.2. This one is in the 32nd percentile – i.e., 32% 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 263,988 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.