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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A new semi-automated workflow for chemical data retrieval and quality checking for modeling applications
|
|---|---|
| Published in |
Journal of Cheminformatics, December 2018
|
| DOI | 10.1186/s13321-018-0315-6 |
| Pubmed ID | |
| Authors |
Domenico Gadaleta, Anna Lombardo, Cosimo Toma, Emilio Benfenati |
X Demographics
The data shown below were collected from the profiles of 20 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 | 3 | 15% |
| United States | 3 | 15% |
| Sweden | 2 | 10% |
| Germany | 2 | 10% |
| Netherlands | 1 | 5% |
| France | 1 | 5% |
| Spain | 1 | 5% |
| Japan | 1 | 5% |
| India | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 5 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 12 | 60% |
| Members of the public | 7 | 35% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 92 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 21 | 23% |
| Student > Ph. D. Student | 14 | 15% |
| Other | 7 | 8% |
| Student > Master | 7 | 8% |
| Student > Bachelor | 6 | 7% |
| Other | 12 | 13% |
| Unknown | 25 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 32 | 35% |
| Pharmacology, Toxicology and Pharmaceutical Science | 7 | 8% |
| Biochemistry, Genetics and Molecular Biology | 6 | 7% |
| Environmental Science | 5 | 5% |
| Agricultural and Biological Sciences | 3 | 3% |
| Other | 13 | 14% |
| Unknown | 26 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 24 February 2019.
All research outputs
#3,352,647
of 25,335,657 outputs
Outputs from Journal of Cheminformatics
#311
of 955 outputs
Outputs of similar age
#71,390
of 450,297 outputs
Outputs of similar age from Journal of Cheminformatics
#11
of 24 outputs
Altmetric has tracked 25,335,657 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 955 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 gotten more attention than average, scoring higher than 67% 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 450,297 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 84% 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 58% of its contemporaries.