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X Demographics
Mendeley readers
Attention Score in Context
| Title |
SmartGraph: a network pharmacology investigation platform
|
|---|---|
| Published in |
Journal of Cheminformatics, January 2020
|
| DOI | 10.1186/s13321-020-0409-9 |
| Pubmed ID | |
| Authors |
Gergely Zahoránszky-Kőhalmi, Timothy Sheils, Tudor I. Oprea |
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 % |
|---|---|---|
| United States | 4 | 33% |
| Korea, Republic of | 1 | 8% |
| Netherlands | 1 | 8% |
| Sweden | 1 | 8% |
| Unknown | 5 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 67% |
| Scientists | 3 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 58 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 24% |
| Student > Ph. D. Student | 11 | 19% |
| Student > Master | 5 | 9% |
| Student > Bachelor | 4 | 7% |
| Lecturer | 2 | 3% |
| Other | 7 | 12% |
| Unknown | 15 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 12% |
| Chemistry | 7 | 12% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 10% |
| Computer Science | 6 | 10% |
| Agricultural and Biological Sciences | 6 | 10% |
| Other | 6 | 10% |
| Unknown | 20 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 10 May 2020.
All research outputs
#5,306,310
of 25,079,131 outputs
Outputs from Journal of Cheminformatics
#454
of 942 outputs
Outputs of similar age
#116,417
of 469,194 outputs
Outputs of similar age from Journal of Cheminformatics
#13
of 19 outputs
Altmetric has tracked 25,079,131 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 942 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has gotten more attention than average, scoring higher than 51% of its peers.
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 469,194 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.