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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Quantitative fluorescence loss in photobleaching for analysis of protein transport and aggregation
|
|---|---|
| Published in |
BMC Bioinformatics, November 2012
|
| DOI | 10.1186/1471-2105-13-296 |
| Pubmed ID | |
| Authors |
Daniel Wüstner, Lukasz M Solanko, Frederik W Lund, Daniel Sage, Hans J Schroll, Michael A Lomholt |
| Abstract |
Fluorescence loss in photobleaching (FLIP) is a widely used imaging technique, which provides information about protein dynamics in various cellular regions. In FLIP, a small cellular region is repeatedly illuminated by an intense laser pulse, while images are taken with reduced laser power with a time lag between the bleaches. Despite its popularity, tools are lacking for quantitative analysis of FLIP experiments. Typically, the user defines regions of interest (ROIs) for further analysis which is subjective and does not allow for comparing different cells and experimental settings. |
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 % |
|---|---|---|
| Germany | 1 | 50% |
| Peru | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 2% |
| Switzerland | 1 | <1% |
| France | 1 | <1% |
| United Kingdom | 1 | <1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 113 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 37 | 31% |
| Researcher | 20 | 17% |
| Student > Master | 17 | 14% |
| Student > Bachelor | 10 | 8% |
| Student > Doctoral Student | 8 | 7% |
| Other | 7 | 6% |
| Unknown | 21 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 26 | 22% |
| Biochemistry, Genetics and Molecular Biology | 22 | 18% |
| Physics and Astronomy | 14 | 12% |
| Engineering | 7 | 6% |
| Chemistry | 7 | 6% |
| Other | 19 | 16% |
| Unknown | 25 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 30 October 2019.
All research outputs
#6,384,139
of 22,687,320 outputs
Outputs from BMC Bioinformatics
#2,468
of 7,252 outputs
Outputs of similar age
#47,305
of 179,089 outputs
Outputs of similar age from BMC Bioinformatics
#35
of 104 outputs
Altmetric has tracked 22,687,320 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 7,252 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 64% 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 179,089 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 72% of its contemporaries.
We're also able to compare this research output to 104 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 63% of its contemporaries.