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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Literature information in PubChem: associations between PubChem records and scientific articles
|
|---|---|
| Published in |
Journal of Cheminformatics, June 2016
|
| DOI | 10.1186/s13321-016-0142-6 |
| Pubmed ID | |
| Authors |
Sunghwan Kim, Paul A. Thiessen, Tiejun Cheng, Bo Yu, Benjamin A. Shoemaker, Jiyao Wang, Evan E. Bolton, Yanli Wang, Stephen H. Bryant |
| Abstract |
PubChem is an open archive consisting of a set of three primary public databases (BioAssay, Compound, and Substance). It contains information on a broad range of chemical entities, including small molecules, lipids, carbohydrates, and (chemically modified) amino acid and nucleic acid sequences (including siRNA and miRNA). Currently (as of Nov. 2015), PubChem contains more than 150 million depositor-provided chemical substance descriptions, 60 million unique chemical structures, and 225 million biological activity test results provided from over 1 million biological assay records. Many PubChem records (substances, compounds, and assays) include depositor-provided cross-references to scientific articles in PubMed. Some PubChem contributors provide bioactivity data extracted from scientific articles. Literature-derived bioactivity data complement high-throughput screening (HTS) data from the concluded NIH Molecular Libraries Program and other HTS projects. Some journals provide PubChem with information on chemicals that appear in their newly published articles, enabling concurrent publication of scientific articles in journals and associated data in public databases. In addition, PubChem links records to PubMed articles indexed with the Medical Subject Heading (MeSH) controlled vocabulary thesaurus. Literature information, both provided by depositors and derived from MeSH annotations, can be accessed using PubChem's web interfaces, enabling users to explore information available in literature related to PubChem records beyond typical web search results. Graphical abstractLiterature information for PubChem records is derived from various sources. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 1 | 14% |
| Japan | 1 | 14% |
| Unknown | 5 | 71% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Scientists | 2 | 29% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 156 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 1% |
| Brazil | 2 | 1% |
| India | 1 | <1% |
| Unknown | 151 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 33 | 21% |
| Student > Ph. D. Student | 12 | 8% |
| Student > Master | 11 | 7% |
| Student > Doctoral Student | 8 | 5% |
| Researcher | 8 | 5% |
| Other | 17 | 11% |
| Unknown | 67 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 28 | 18% |
| Biochemistry, Genetics and Molecular Biology | 17 | 11% |
| Chemistry | 15 | 10% |
| Agricultural and Biological Sciences | 12 | 8% |
| Immunology and Microbiology | 5 | 3% |
| Other | 13 | 8% |
| Unknown | 66 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 26. 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 09 April 2022.
All research outputs
#1,465,829
of 25,079,131 outputs
Outputs from Journal of Cheminformatics
#93
of 942 outputs
Outputs of similar age
#26,659
of 353,118 outputs
Outputs of similar age from Journal of Cheminformatics
#2
of 13 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 94th percentile: it's in the top 10% 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 90% 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 353,118 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 13 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 92% of its contemporaries.