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X Demographics
Mendeley readers
Attention Score in Context
| Title |
AiZynthFinder: a fast, robust and flexible open-source software for retrosynthetic planning
|
|---|---|
| Published in |
Journal of Cheminformatics, November 2020
|
| DOI | 10.1186/s13321-020-00472-1 |
| Pubmed ID | |
| Authors |
Samuel Genheden, Amol Thakkar, Veronika Chadimová, Jean-Louis Reymond, Ola Engkvist, Esben Bjerrum |
X Demographics
The data shown below were collected from the profiles of 46 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 | 6 | 13% |
| Japan | 5 | 11% |
| Switzerland | 3 | 7% |
| Brazil | 2 | 4% |
| Germany | 2 | 4% |
| United States | 2 | 4% |
| Netherlands | 2 | 4% |
| Israel | 1 | 2% |
| Canada | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 20 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 23 | 50% |
| Scientists | 22 | 48% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 251 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 251 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 50 | 20% |
| Student > Ph. D. Student | 34 | 14% |
| Student > Master | 27 | 11% |
| Student > Bachelor | 22 | 9% |
| Other | 14 | 6% |
| Other | 20 | 8% |
| Unknown | 84 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 75 | 30% |
| Computer Science | 16 | 6% |
| Biochemistry, Genetics and Molecular Biology | 13 | 5% |
| Agricultural and Biological Sciences | 11 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 9 | 4% |
| Other | 34 | 14% |
| Unknown | 93 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 50. 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 28 February 2024.
All research outputs
#849,303
of 25,600,774 outputs
Outputs from Journal of Cheminformatics
#19
of 978 outputs
Outputs of similar age
#23,295
of 521,003 outputs
Outputs of similar age from Journal of Cheminformatics
#2
of 15 outputs
Altmetric has tracked 25,600,774 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 978 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 10.0. This one has done particularly well, scoring higher than 98% 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 521,003 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
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 has done particularly well, scoring higher than 93% of its contemporaries.