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X Demographics
Mendeley readers
Attention Score in Context
| Title |
PubChem3D: a new resource for scientists
|
|---|---|
| Published in |
Journal of Cheminformatics, September 2011
|
| DOI | 10.1186/1758-2946-3-32 |
| Pubmed ID | |
| Authors |
Evan E Bolton, Jie Chen, Sunghwan Kim, Lianyi Han, Siqian He, Wenyao Shi, Vahan Simonyan, Yan Sun, Paul A Thiessen, Jiyao Wang, Bo Yu, Jian Zhang, Stephen H Bryant |
| Abstract |
PubChem is an open repository for small molecules and their experimental biological activity. PubChem integrates and provides search, retrieval, visualization, analysis, and programmatic access tools in an effort to maximize the utility of contributed information. There are many diverse chemical structures with similar biological efficacies against targets available in PubChem that are difficult to interrelate using traditional 2-D similarity methods. A new layer called PubChem3D is added to PubChem to assist in this analysis. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| Switzerland | 1 | <1% |
| France | 1 | <1% |
| Taiwan | 1 | <1% |
| Iran, Islamic Republic of | 1 | <1% |
| Spain | 1 | <1% |
| Denmark | 1 | <1% |
| Unknown | 132 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 31 | 22% |
| Student > Ph. D. Student | 20 | 14% |
| Student > Master | 13 | 9% |
| Student > Bachelor | 13 | 9% |
| Other | 7 | 5% |
| Other | 24 | 17% |
| Unknown | 33 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 33 | 23% |
| Biochemistry, Genetics and Molecular Biology | 20 | 14% |
| Agricultural and Biological Sciences | 17 | 12% |
| Computer Science | 11 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 4% |
| Other | 20 | 14% |
| Unknown | 34 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 June 2020.
All research outputs
#1,725,351
of 22,651,245 outputs
Outputs from Journal of Cheminformatics
#153
of 825 outputs
Outputs of similar age
#8,586
of 130,428 outputs
Outputs of similar age from Journal of Cheminformatics
#6
of 22 outputs
Altmetric has tracked 22,651,245 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 825 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done well, scoring higher than 81% 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 130,428 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 93% of its contemporaries.
We're also able to compare this research output to 22 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 72% of its contemporaries.