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X Demographics
Mendeley readers
Attention Score in Context
| Title |
iDrug: a web-accessible and interactive drug discovery and design platform
|
|---|---|
| Published in |
Journal of Cheminformatics, May 2014
|
| DOI | 10.1186/1758-2946-6-28 |
| Pubmed ID | |
| Authors |
Xia Wang, Haipeng Chen, Feng Yang, Jiayu Gong, Shiliang Li, Jianfeng Pei, Xiaofeng Liu, Hualiang Jiang, Luhua Lai, Honglin Li |
| Abstract |
The progress in computer-aided drug design (CADD) approaches over the past decades accelerated the early-stage pharmaceutical research. Many powerful standalone tools for CADD have been developed in academia. As programs are developed by various research groups, a consistent user-friendly online graphical working environment, combining computational techniques such as pharmacophore mapping, similarity calculation, scoring, and target identification is needed. |
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% |
| Japan | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 3% |
| Unknown | 67 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 19% |
| Researcher | 12 | 17% |
| Student > Bachelor | 8 | 12% |
| Student > Master | 5 | 7% |
| Professor | 4 | 6% |
| Other | 11 | 16% |
| Unknown | 16 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 12 | 17% |
| Agricultural and Biological Sciences | 10 | 14% |
| Computer Science | 6 | 9% |
| Biochemistry, Genetics and Molecular Biology | 4 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 6% |
| Other | 14 | 20% |
| Unknown | 19 | 28% |
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 25 June 2014.
All research outputs
#14,196,440
of 22,756,196 outputs
Outputs from Journal of Cheminformatics
#699
of 828 outputs
Outputs of similar age
#119,209
of 226,329 outputs
Outputs of similar age from Journal of Cheminformatics
#12
of 21 outputs
Altmetric has tracked 22,756,196 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% 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 12th percentile – i.e., 12% 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 226,329 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% 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 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.