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X Demographics
Mendeley readers
Attention Score in Context
| Title |
TrackArt: the user friendly interface for single molecule tracking data analysis and simulation applied to complex diffusion in mica supported lipid bilayers
|
|---|---|
| Published in |
BMC Research Notes, May 2014
|
| DOI | 10.1186/1756-0500-7-274 |
| Pubmed ID | |
| Authors |
Artur Matysik, Rachel S Kraut |
| Abstract |
Single molecule tracking (SMT) analysis of fluorescently tagged lipid and protein probes is an attractive alternative to ensemble averaged methods such as fluorescence correlation spectroscopy (FCS) or fluorescence recovery after photobleaching (FRAP) for measuring diffusion in artificial and plasma membranes. The meaningful estimation of diffusion coefficients and their errors is however not straightforward, and is heavily dependent on sample type, acquisition method, and equipment used. Many approaches require advanced computing and programming skills for their implementation. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 2% |
| Mexico | 1 | 2% |
| United States | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 53 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 30% |
| Researcher | 11 | 19% |
| Student > Bachelor | 5 | 9% |
| Professor > Associate Professor | 5 | 9% |
| Student > Master | 5 | 9% |
| Other | 8 | 14% |
| Unknown | 6 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 21% |
| Physics and Astronomy | 8 | 14% |
| Chemistry | 7 | 12% |
| Biochemistry, Genetics and Molecular Biology | 6 | 11% |
| Engineering | 5 | 9% |
| Other | 12 | 21% |
| Unknown | 7 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 24 July 2015.
All research outputs
#4,228,677
of 23,881,329 outputs
Outputs from BMC Research Notes
#612
of 4,300 outputs
Outputs of similar age
#40,654
of 230,198 outputs
Outputs of similar age from BMC Research Notes
#12
of 82 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,300 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one has done well, scoring higher than 86% 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 230,198 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 82% of its contemporaries.
We're also able to compare this research output to 82 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.