| Title |
Chemically intuited, large-scale screening of MOFs by machine learning techniques
|
|---|---|
| Published in |
npj Computational Materials, October 2017
|
| DOI | 10.1038/s41524-017-0045-8 |
| Authors |
Giorgos Borboudakis, Taxiarchis Stergiannakos, Maria Frysali, Emmanuel Klontzas, Ioannis Tsamardinos, George E. Froudakis |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 33% |
| Greece | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
| Members of the public | 1 | 33% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 232 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 232 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 55 | 24% |
| Researcher | 35 | 15% |
| Student > Bachelor | 26 | 11% |
| Student > Master | 19 | 8% |
| Student > Doctoral Student | 12 | 5% |
| Other | 25 | 11% |
| Unknown | 60 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 53 | 23% |
| Chemical Engineering | 33 | 14% |
| Engineering | 20 | 9% |
| Materials Science | 18 | 8% |
| Computer Science | 9 | 4% |
| Other | 20 | 9% |
| Unknown | 79 | 34% |
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 30 October 2017.
All research outputs
#14,082,324
of 23,005,189 outputs
Outputs from npj Computational Materials
#432
of 875 outputs
Outputs of similar age
#172,340
of 322,939 outputs
Outputs of similar age from npj Computational Materials
#8
of 15 outputs
Altmetric has tracked 23,005,189 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 875 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 48th percentile – i.e., 48% 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 322,939 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.