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X Demographics
Mendeley readers
Attention Score in Context
| Title |
PIKAChU: a Python-based informatics kit for analysing chemical units
|
|---|---|
| Published in |
Journal of Cheminformatics, June 2022
|
| DOI | 10.1186/s13321-022-00616-5 |
| Pubmed ID | |
| Authors |
Barbara R. Terlouw, Sophie P. J. M. Vromans, Marnix H. Medema |
X Demographics
The data shown below were collected from the profiles of 69 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 | 9 | 13% |
| United States | 5 | 7% |
| Netherlands | 4 | 6% |
| India | 3 | 4% |
| United Kingdom | 3 | 4% |
| Switzerland | 2 | 3% |
| France | 2 | 3% |
| Israel | 1 | 1% |
| Mexico | 1 | 1% |
| Other | 3 | 4% |
| Unknown | 36 | 52% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 40 | 58% |
| Scientists | 27 | 39% |
| Science communicators (journalists, bloggers, editors) | 2 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 19% |
| Student > Master | 6 | 16% |
| Student > Ph. D. Student | 6 | 16% |
| Student > Bachelor | 3 | 8% |
| Other | 2 | 5% |
| Other | 4 | 11% |
| Unknown | 9 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 10 | 27% |
| Biochemistry, Genetics and Molecular Biology | 9 | 24% |
| Agricultural and Biological Sciences | 4 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 5% |
| Social Sciences | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 10 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 39. 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 25 December 2023.
All research outputs
#1,053,066
of 25,554,853 outputs
Outputs from Journal of Cheminformatics
#31
of 973 outputs
Outputs of similar age
#24,773
of 449,215 outputs
Outputs of similar age from Journal of Cheminformatics
#2
of 24 outputs
Altmetric has tracked 25,554,853 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 973 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 96% 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 449,215 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 94% 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 done particularly well, scoring higher than 95% of its contemporaries.