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X Demographics
Mendeley readers
Attention Score in Context
| Title |
TUCAN: A molecular identifier and descriptor applicable to the whole periodic table from hydrogen to oganesson
|
|---|---|
| Published in |
Journal of Cheminformatics, September 2022
|
| DOI | 10.1186/s13321-022-00640-5 |
| Pubmed ID | |
| Authors |
Jan C. Brammer, Gerd Blanke, Claudia Kellner, Alexander Hoffmann, Sonja Herres-Pawlis, Ulrich Schatzschneider |
X Demographics
The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 2 | 12% |
| Germany | 2 | 12% |
| Sweden | 1 | 6% |
| Unknown | 12 | 71% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 59% |
| Scientists | 6 | 35% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 13% |
| Professor | 1 | 13% |
| Student > Bachelor | 1 | 13% |
| Researcher | 1 | 13% |
| Unknown | 4 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 13% |
| Computer Science | 1 | 13% |
| Materials Science | 1 | 13% |
| Chemistry | 1 | 13% |
| Other | 0 | 0% |
| Unknown | 3 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 18 October 2023.
All research outputs
#4,358,493
of 25,721,020 outputs
Outputs from Journal of Cheminformatics
#382
of 981 outputs
Outputs of similar age
#83,777
of 438,153 outputs
Outputs of similar age from Journal of Cheminformatics
#7
of 24 outputs
Altmetric has tracked 25,721,020 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 981 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.9. This one has gotten more attention than average, scoring higher than 61% 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 438,153 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 80% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.