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X Demographics
Mendeley readers
Attention Score in Context
| Title |
SIMA: Python software for analysis of dynamic fluorescence imaging data
|
|---|---|
| Published in |
Frontiers in Neuroinformatics, September 2014
|
| DOI | 10.3389/fninf.2014.00080 |
| Pubmed ID | |
| Authors |
Patrick Kaifosh, Jeffrey D. Zaremba, Nathan B. Danielson, Attila Losonczy |
| Abstract |
Fluorescence imaging is a powerful method for monitoring dynamic signals in the nervous system. However, analysis of dynamic fluorescence imaging data remains burdensome, in part due to the shortage of available software tools. To address this need, we have developed SIMA, an open source Python package that facilitates common analysis tasks related to fluorescence imaging. Functionality of this package includes correction of motion artifacts occurring during in vivo imaging with laser-scanning microscopy, segmentation of imaged fields into regions of interest (ROIs), and extraction of signals from the segmented ROIs. We have also developed a graphical user interface (GUI) for manual editing of the automatically segmented ROIs and automated registration of ROIs across multiple imaging datasets. This software has been designed with flexibility in mind to allow for future extension with different analysis methods and potential integration with other packages. Software, documentation, and source code for the SIMA package and ROI Buddy GUI are freely available at http://www.losonczylab.org/sima/. |
X Demographics
The data shown below were collected from the profiles of 11 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 | 2 | 18% |
| Unknown | 9 | 82% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 91% |
| Scientists | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 311 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 1% |
| Germany | 2 | <1% |
| France | 2 | <1% |
| Canada | 2 | <1% |
| Switzerland | 1 | <1% |
| Norway | 1 | <1% |
| Hungary | 1 | <1% |
| Australia | 1 | <1% |
| Japan | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 295 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 96 | 31% |
| Researcher | 69 | 22% |
| Student > Master | 29 | 9% |
| Student > Bachelor | 25 | 8% |
| Student > Postgraduate | 16 | 5% |
| Other | 33 | 11% |
| Unknown | 43 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 102 | 33% |
| Agricultural and Biological Sciences | 74 | 24% |
| Engineering | 25 | 8% |
| Biochemistry, Genetics and Molecular Biology | 16 | 5% |
| Medicine and Dentistry | 15 | 5% |
| Other | 35 | 11% |
| Unknown | 44 | 14% |
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 11 May 2016.
All research outputs
#3,269,590
of 22,771,140 outputs
Outputs from Frontiers in Neuroinformatics
#194
of 743 outputs
Outputs of similar age
#38,177
of 251,970 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#2
of 10 outputs
Altmetric has tracked 22,771,140 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 743 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one has gotten more attention than average, scoring higher than 73% 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 251,970 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 84% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 8 of them.