You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Molpher: a software framework for systematic chemical space exploration
|
|---|---|
| Published in |
Journal of Cheminformatics, March 2014
|
| DOI | 10.1186/1758-2946-6-7 |
| Pubmed ID | |
| Authors |
David Hoksza, Petr Škoda, Milan Voršilák, Daniel Svozil |
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 % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Members of the public | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 4% |
| Spain | 2 | 2% |
| Panama | 1 | 1% |
| Czechia | 1 | 1% |
| Brazil | 1 | 1% |
| United Kingdom | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 71 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 28 | 35% |
| Student > Ph. D. Student | 24 | 30% |
| Student > Master | 7 | 9% |
| Professor > Associate Professor | 4 | 5% |
| Student > Bachelor | 3 | 4% |
| Other | 7 | 9% |
| Unknown | 8 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 29 | 36% |
| Computer Science | 14 | 17% |
| Biochemistry, Genetics and Molecular Biology | 7 | 9% |
| Agricultural and Biological Sciences | 5 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 5% |
| Other | 11 | 14% |
| Unknown | 11 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 26 September 2019.
All research outputs
#8,262,193
of 25,837,817 outputs
Outputs from Journal of Cheminformatics
#628
of 984 outputs
Outputs of similar age
#74,628
of 241,172 outputs
Outputs of similar age from Journal of Cheminformatics
#4
of 19 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
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 10.2. This one is in the 35th percentile – i.e., 35% 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 241,172 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% 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 has done well, scoring higher than 78% of its contemporaries.