| Title |
Accessible virtual reality of biomolecular structural models using the Autodesk Molecule Viewer
|
|---|---|
| Published in |
Nature Methods, December 2017
|
| DOI | 10.1038/nmeth.4506 |
| Pubmed ID | |
| Authors |
Aidin R Balo, Merry Wang, Oliver P Ernst |
X Demographics
The data shown below were collected from the profiles of 45 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 | 15 | 33% |
| Japan | 4 | 9% |
| United Kingdom | 2 | 4% |
| Mexico | 2 | 4% |
| Canada | 2 | 4% |
| Spain | 1 | 2% |
| Argentina | 1 | 2% |
| Italy | 1 | 2% |
| Unknown | 17 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 33 | 73% |
| Scientists | 11 | 24% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
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 % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 7 | 20% |
| Professor > Associate Professor | 6 | 17% |
| Student > Master | 4 | 11% |
| Researcher | 4 | 11% |
| Student > Ph. D. Student | 4 | 11% |
| Other | 3 | 9% |
| Unknown | 7 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 7 | 20% |
| Computer Science | 5 | 14% |
| Biochemistry, Genetics and Molecular Biology | 3 | 9% |
| Agricultural and Biological Sciences | 3 | 9% |
| Chemical Engineering | 2 | 6% |
| Other | 4 | 11% |
| Unknown | 11 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 35. 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 14 February 2018.
All research outputs
#1,132,684
of 25,383,225 outputs
Outputs from Nature Methods
#1,458
of 5,367 outputs
Outputs of similar age
#25,349
of 451,770 outputs
Outputs of similar age from Nature Methods
#30
of 76 outputs
Altmetric has tracked 25,383,225 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,367 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.1. This one has gotten more attention than average, scoring higher than 72% 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 451,770 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 76 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 61% of its contemporaries.