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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Drug-likeness analysis of traditional Chinese medicines: 1. property distributions of drug-like compounds, non-drug-like compounds and natural compounds from traditional Chinese medicines
|
|---|---|
| Published in |
Journal of Cheminformatics, November 2012
|
| DOI | 10.1186/1758-2946-4-31 |
| Pubmed ID | |
| Authors |
Mingyun Shen, Sheng Tian, Youyong Li, Qian Li, Xiaojie Xu, Junmei Wang, Tingjun Hou |
X Demographics
The data shown below were collected from the profiles of 3 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 | 33% |
| Italy | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 2% |
| United States | 1 | 2% |
| China | 1 | 2% |
| Romania | 1 | 2% |
| Unknown | 61 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 23% |
| Researcher | 9 | 14% |
| Student > Master | 9 | 14% |
| Student > Bachelor | 5 | 8% |
| Student > Doctoral Student | 4 | 6% |
| Other | 10 | 15% |
| Unknown | 13 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 14 | 22% |
| Pharmacology, Toxicology and Pharmaceutical Science | 8 | 12% |
| Agricultural and Biological Sciences | 8 | 12% |
| Computer Science | 6 | 9% |
| Medicine and Dentistry | 4 | 6% |
| Other | 6 | 9% |
| Unknown | 19 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 29 November 2012.
All research outputs
#15,207,446
of 24,143,470 outputs
Outputs from Journal of Cheminformatics
#755
of 891 outputs
Outputs of similar age
#173,803
of 285,004 outputs
Outputs of similar age from Journal of Cheminformatics
#14
of 15 outputs
Altmetric has tracked 24,143,470 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
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 11th percentile – i.e., 11% 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 285,004 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.