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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Drug-likeness analysis of traditional Chinese medicines: 2. Characterization of scaffold architectures for drug-like compounds, non-drug-like compounds, and natural compounds from traditional Chinese medicines
|
|---|---|
| Published in |
Journal of Cheminformatics, January 2013
|
| DOI | 10.1186/1758-2946-5-5 |
| Pubmed ID | |
| Authors |
Sheng Tian, Youyong Li, Junmei Wang, Xiaojie Xu, Lei Xu, Xiaohong Wang, Lei Chen, Tingjun Hou |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 3% |
| China | 1 | 3% |
| Romania | 1 | 3% |
| Unknown | 32 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 29% |
| Researcher | 7 | 20% |
| Student > Master | 5 | 14% |
| Other | 3 | 9% |
| Professor > Associate Professor | 3 | 9% |
| Other | 5 | 14% |
| Unknown | 2 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 10 | 29% |
| Agricultural and Biological Sciences | 9 | 26% |
| Computer Science | 6 | 17% |
| Biochemistry, Genetics and Molecular Biology | 3 | 9% |
| Medicine and Dentistry | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 3 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 2013.
All research outputs
#18,326,065
of 22,693,205 outputs
Outputs from Journal of Cheminformatics
#794
of 828 outputs
Outputs of similar age
#216,276
of 279,294 outputs
Outputs of similar age from Journal of Cheminformatics
#19
of 21 outputs
Altmetric has tracked 22,693,205 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 828 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one is in the 1st percentile – i.e., 1% 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 279,294 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.