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Mendeley readers
Attention Score in Context
| Title |
KinImmerse: Macromolecular VR for NMR ensembles
|
|---|---|
| Published in |
Source Code for Biology and Medicine, February 2009
|
| DOI | 10.1186/1751-0473-4-3 |
| Pubmed ID | |
| Authors |
Jeremy N Block, David J Zielinski, Vincent B Chen, Ian W Davis, E Claire Vinson, Rachael Brady, Jane S Richardson, David C Richardson |
| Abstract |
In molecular applications, virtual reality (VR) and immersive virtual environments have generally been used and valued for the visual and interactive experience - to enhance intuition and communicate excitement - rather than as part of the actual research process. In contrast, this work develops a software infrastructure for research use and illustrates such use on a specific case. |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 5% |
| Uruguay | 1 | 5% |
| Unknown | 20 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 23% |
| Researcher | 3 | 14% |
| Student > Bachelor | 2 | 9% |
| Professor > Associate Professor | 2 | 9% |
| Student > Master | 2 | 9% |
| Other | 3 | 14% |
| Unknown | 5 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 4 | 18% |
| Computer Science | 4 | 18% |
| Chemistry | 3 | 14% |
| Psychology | 2 | 9% |
| Medicine and Dentistry | 2 | 9% |
| Other | 2 | 9% |
| Unknown | 5 | 23% |
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 31 December 2009.
All research outputs
#7,452,489
of 22,783,848 outputs
Outputs from Source Code for Biology and Medicine
#44
of 127 outputs
Outputs of similar age
#33,014
of 93,986 outputs
Outputs of similar age from Source Code for Biology and Medicine
#1
of 1 outputs
Altmetric has tracked 22,783,848 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 127 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. 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 93,986 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them