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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Visualizing chemical space networks with RDKit and NetworkX
|
|---|---|
| Published in |
Journal of Cheminformatics, December 2022
|
| DOI | 10.1186/s13321-022-00664-x |
| Pubmed ID | |
| Authors |
Vincent F. Scalfani, Vishank D. Patel, Avery M. Fernandez |
X Demographics
The data shown below were collected from the profiles of 37 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 | 5 | 14% |
| Japan | 4 | 11% |
| France | 3 | 8% |
| Nigeria | 2 | 5% |
| Mexico | 1 | 3% |
| Germany | 1 | 3% |
| Thailand | 1 | 3% |
| Chile | 1 | 3% |
| Argentina | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 15 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 22 | 59% |
| Scientists | 12 | 32% |
| Science communicators (journalists, bloggers, editors) | 3 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 25% |
| Student > Ph. D. Student | 6 | 15% |
| Student > Master | 3 | 8% |
| Unspecified | 3 | 8% |
| Student > Bachelor | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 13 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 11 | 28% |
| Agricultural and Biological Sciences | 4 | 10% |
| Unspecified | 3 | 8% |
| Computer Science | 3 | 8% |
| Engineering | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 14 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 27 January 2023.
All research outputs
#1,820,606
of 25,247,084 outputs
Outputs from Journal of Cheminformatics
#141
of 952 outputs
Outputs of similar age
#38,190
of 477,233 outputs
Outputs of similar age from Journal of Cheminformatics
#5
of 29 outputs
Altmetric has tracked 25,247,084 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 952 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one has done well, scoring higher than 85% 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 477,233 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 91% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.