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X Demographics
Mendeley readers
Attention Score in Context
| Title |
PyMine: a PyMOL plugin to integrate and visualize data for drug discovery
|
|---|---|
| Published in |
BMC Research Notes, October 2015
|
| DOI | 10.1186/s13104-015-1483-3 |
| Pubmed ID | |
| Authors |
Rajan Chaudhari, Zhijun Li |
| Abstract |
Tremendous amount of chemical and biological data are being generated by various high-throughput biotechnologies that could facilitate modern drug discovery. However, lack of integration makes it very challenging for individual scientists to access and understand all the data related to a specific protein of interest. To overcome this challenge, we developed PyMine, a PyMOL plugin that retrieves chemical, structural, pathway and other related biological data of a receptor and small molecules from a variety of high-quality databases and presents them in a graphic and uniformed way. Developed as an interactive and user-friendly tool, PyMine can be used as a central data-hub for users to access and visualize multiple types of data and to generate new ideas intuitively for structure-based molecule design. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 75% |
| India | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 1 | 3% |
| Unknown | 39 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 20% |
| Student > Master | 5 | 13% |
| Researcher | 4 | 10% |
| Student > Doctoral Student | 2 | 5% |
| Lecturer | 2 | 5% |
| Other | 5 | 13% |
| Unknown | 14 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 8 | 20% |
| Chemistry | 7 | 18% |
| Biochemistry, Genetics and Molecular Biology | 3 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 8% |
| Unspecified | 1 | 3% |
| Other | 4 | 10% |
| Unknown | 14 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 02 October 2015.
All research outputs
#13,098,127
of 22,829,683 outputs
Outputs from BMC Research Notes
#1,588
of 4,263 outputs
Outputs of similar age
#124,361
of 274,923 outputs
Outputs of similar age from BMC Research Notes
#61
of 185 outputs
Altmetric has tracked 22,829,683 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,263 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 62% 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 274,923 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 185 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 67% of its contemporaries.