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Mendeley readers
Attention Score in Context
| Title |
The PubChem chemical structure sketcher
|
|---|---|
| Published in |
Journal of Cheminformatics, December 2009
|
| DOI | 10.1186/1758-2946-1-20 |
| Pubmed ID | |
| Authors |
Wolf D Ihlenfeldt, Evan E Bolton, Stephen H Bryant |
| Abstract |
PubChem is an important public, Web-based information source for chemical and bioactivity information. In order to provide convenient structure search methods on compounds stored in this database, one mandatory component is a Web-based drawing tool for interactive sketching of chemical query structures. Web-enabled chemical structure sketchers are not new, being in existence for years; however, solutions available rely on complex technology like Java applets or platform-dependent plug-ins. Due to general policy and support incident rate considerations, Java-based or platform-specific sketchers cannot be deployed as a part of public NCBI Web services. Our solution: a chemical structure sketching tool based exclusively on CGI server processing, client-side JavaScript functions, and image sequence streaming. The PubChem structure editor does not require the presence of any specific runtime support libraries or browser configurations on the client. It is completely platform-independent and verified to work on all major Web browsers, including older ones without support for Web2.0 JavaScript objects. |
Mendeley readers
The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 2 | 2% |
| United Kingdom | 2 | 2% |
| Brazil | 1 | <1% |
| France | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Luxembourg | 1 | <1% |
| Unknown | 111 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 17% |
| Researcher | 19 | 16% |
| Student > Bachelor | 14 | 12% |
| Student > Master | 8 | 7% |
| Student > Doctoral Student | 7 | 6% |
| Other | 18 | 15% |
| Unknown | 33 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 23 | 19% |
| Agricultural and Biological Sciences | 18 | 15% |
| Chemistry | 14 | 12% |
| Computer Science | 6 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 5% |
| Other | 12 | 10% |
| Unknown | 40 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 27 October 2020.
All research outputs
#6,198,301
of 24,143,470 outputs
Outputs from Journal of Cheminformatics
#509
of 891 outputs
Outputs of similar age
#35,106
of 157,610 outputs
Outputs of similar age from Journal of Cheminformatics
#4
of 4 outputs
Altmetric has tracked 24,143,470 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 891 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
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 157,610 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 77% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.