| Title |
The Royal Society of Chemistry and the delivery of chemistry data repositories for the community
|
|---|---|
| Published in |
Perspectives in Drug Discovery and Design, August 2014
|
| DOI | 10.1007/s10822-014-9784-5 |
| Pubmed ID | |
| Authors |
Antony Williams, Valery Tkachenko |
| Abstract |
Since 2009 the Royal Society of Chemistry (RSC) has been delivering access to chemistry data and cheminformatics tools via the ChemSpider database and has garnered a significant community following in terms of usage and contribution to the platform. ChemSpider has focused only on those chemical entities that can be represented as molecular connection tables or, to be more specific, the ability to generate an InChI from the input structure. As a structure centric hub ChemSpider is built around the molecular structure with other data and links being associated with this structure. As a result the platform has been limited in terms of the types of data that can be managed, and the flexibility of its searches, and it is constrained by the data model. New technologies and approaches, specifically taking into account a shift from relational to NoSQL databases, and the growing importance of the semantic web, has motivated RSC to rearchitect and create a more generic data repository utilizing these new technologies. This article will provide an overview of our activities in delivering data sharing platforms for the chemistry community including the development of the new data repository expanding into more extensive domains of chemistry data. |
X Demographics
The data shown below were collected from the profiles of 11 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 | 4 | 36% |
| Germany | 2 | 18% |
| Italy | 1 | 9% |
| United States | 1 | 9% |
| Unknown | 3 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 73% |
| Scientists | 2 | 18% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| Germany | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 60 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 23% |
| Other | 12 | 19% |
| Student > Ph. D. Student | 11 | 17% |
| Student > Bachelor | 7 | 11% |
| Student > Master | 5 | 8% |
| Other | 9 | 14% |
| Unknown | 5 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 14 | 22% |
| Computer Science | 14 | 22% |
| Agricultural and Biological Sciences | 7 | 11% |
| Biochemistry, Genetics and Molecular Biology | 3 | 5% |
| Engineering | 2 | 3% |
| Other | 13 | 20% |
| Unknown | 11 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 23 January 2019.
All research outputs
#1,959,290
of 25,457,858 outputs
Outputs from Perspectives in Drug Discovery and Design
#32
of 949 outputs
Outputs of similar age
#19,267
of 241,169 outputs
Outputs of similar age from Perspectives in Drug Discovery and Design
#3
of 17 outputs
Altmetric has tracked 25,457,858 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 949 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. 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 241,169 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 92% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.