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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Protein Nano-Object Integrator (ProNOI) for generating atomic style objects for molecular modeling
|
|---|---|
| Published in |
BMC Molecular and Cell Biology, December 2012
|
| DOI | 10.1186/1472-6807-12-31 |
| Pubmed ID | |
| Authors |
Nicholas Smith, Brandon Campbell, Lin Li, Chuan Li, Emil Alexov |
| Abstract |
With the progress of nanotechnology, one frequently has to model biological macromolecules simultaneously with nano-objects. However, the atomic structures of the nano objects are typically not available or they are solid state entities. Because of that, the researchers have to investigate such nano systems by generating models of the nano objects in a manner that the existing software be able to carry the simulations. In addition, it should allow generating composite objects with complex shape by combining basic geometrical figures and embedding biological macromolecules within the system. |
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 % |
|---|---|---|
| Japan | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 2 | 25% |
| Professor > Associate Professor | 2 | 25% |
| Student > Bachelor | 2 | 25% |
| Researcher | 2 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 2 | 25% |
| Chemistry | 2 | 25% |
| Psychology | 1 | 13% |
| Computer Science | 1 | 13% |
| Medicine and Dentistry | 1 | 13% |
| Other | 1 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 21 July 2015.
All research outputs
#4,312,797
of 25,374,917 outputs
Outputs from BMC Molecular and Cell Biology
#87
of 1,233 outputs
Outputs of similar age
#40,873
of 286,270 outputs
Outputs of similar age from BMC Molecular and Cell Biology
#2
of 23 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,233 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 92% 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 286,270 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.