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X Demographics
Mendeley readers
Attention Score in Context
Title |
The ChEMBL database as linked open data
|
---|---|
Published in |
Journal of Cheminformatics, May 2013
|
DOI | 10.1186/1758-2946-5-23 |
Pubmed ID | |
Authors |
Egon L Willighagen, Andra Waagmeester, Ola Spjuth, Peter Ansell, Antony J Williams, Valery Tkachenko, Janna Hastings, Bin Chen, David J Wild |
Abstract |
Making data available as Linked Data using Resource Description Framework (RDF) promotes integration with other web resources. RDF documents can natively link to related data, and others can link back using Uniform Resource Identifiers (URIs). RDF makes the data machine-readable and uses extensible vocabularies for additional information, making it easier to scale up inference and data analysis. |
X Demographics
The data shown below were collected from the profiles of 26 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 | 19% |
United Kingdom | 5 | 19% |
Germany | 3 | 12% |
Denmark | 2 | 8% |
Sweden | 2 | 8% |
Bulgaria | 1 | 4% |
Indonesia | 1 | 4% |
Japan | 1 | 4% |
Unknown | 6 | 23% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 20 | 77% |
Scientists | 6 | 23% |
Mendeley readers
The data shown below were compiled from readership statistics for 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 3% |
Brazil | 5 | 3% |
Germany | 3 | 2% |
Netherlands | 2 | 1% |
Japan | 2 | 1% |
Austria | 1 | <1% |
Sweden | 1 | <1% |
Canada | 1 | <1% |
Ecuador | 1 | <1% |
Other | 2 | 1% |
Unknown | 132 | 85% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 33 | 21% |
Researcher | 29 | 19% |
Student > Master | 26 | 17% |
Other | 12 | 8% |
Professor > Associate Professor | 11 | 7% |
Other | 27 | 17% |
Unknown | 17 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Chemistry | 35 | 23% |
Computer Science | 33 | 21% |
Agricultural and Biological Sciences | 24 | 15% |
Pharmacology, Toxicology and Pharmaceutical Science | 11 | 7% |
Biochemistry, Genetics and Molecular Biology | 9 | 6% |
Other | 16 | 10% |
Unknown | 27 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 45. 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 12 April 2018.
All research outputs
#903,666
of 25,079,131 outputs
Outputs from Journal of Cheminformatics
#23
of 942 outputs
Outputs of similar age
#6,512
of 198,338 outputs
Outputs of similar age from Journal of Cheminformatics
#2
of 12 outputs
Altmetric has tracked 25,079,131 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 942 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has done particularly well, scoring higher than 97% 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 198,338 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 96% of its contemporaries.
We're also able to compare this research output to 12 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 91% of its contemporaries.