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X Demographics
Mendeley readers
Attention Score in Context
| Title |
CellProfiler Tracer: exploring and validating high-throughput, time-lapse microscopy image data
|
|---|---|
| Published in |
BMC Bioinformatics, November 2015
|
| DOI | 10.1186/s12859-015-0759-x |
| Pubmed ID | |
| Authors |
Mark-Anthony Bray, Anne E. Carpenter |
| Abstract |
Time-lapse analysis of cellular images is an important and growing need in biology. Algorithms for cell tracking are widely available; what researchers have been missing is a single open-source software package to visualize standard tracking output (from software like CellProfiler) in a way that allows convenient assessment of track quality, especially for researchers tuning tracking parameters for high-content time-lapse experiments. This makes quality assessment and algorithm adjustment a substantial challenge, particularly when dealing with hundreds of time-lapse movies collected in a high-throughput manner. We present CellProfiler Tracer, a free and open-source tool that complements the object tracking functionality of the CellProfiler biological image analysis package. Tracer allows multi-parametric morphological data to be visualized on object tracks, providing visualizations that have already been validated within the scientific community for time-lapse experiments, and combining them with simple graph-based measures for highlighting possible tracking artifacts. CellProfiler Tracer is a useful, free tool for inspection and quality control of object tracking data, available from http://www.cellprofiler.org/tracer/ . |
X Demographics
The data shown below were collected from the profiles of 13 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 | 5 | 38% |
| United Kingdom | 2 | 15% |
| France | 1 | 8% |
| Norway | 1 | 8% |
| Germany | 1 | 8% |
| Switzerland | 1 | 8% |
| Italy | 1 | 8% |
| Unknown | 1 | 8% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 77% |
| Scientists | 3 | 23% |
Mendeley readers
The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Belgium | 1 | 1% |
| Switzerland | 1 | 1% |
| Unknown | 88 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 21 | 23% |
| Student > Ph. D. Student | 16 | 18% |
| Student > Master | 16 | 18% |
| Student > Bachelor | 7 | 8% |
| Student > Doctoral Student | 4 | 4% |
| Other | 13 | 14% |
| Unknown | 13 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 24 | 27% |
| Biochemistry, Genetics and Molecular Biology | 17 | 19% |
| Computer Science | 13 | 14% |
| Engineering | 9 | 10% |
| Immunology and Microbiology | 3 | 3% |
| Other | 8 | 9% |
| Unknown | 16 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 19 November 2019.
All research outputs
#3,418,365
of 24,844,992 outputs
Outputs from BMC Bioinformatics
#1,113
of 7,595 outputs
Outputs of similar age
#46,959
of 291,304 outputs
Outputs of similar age from BMC Bioinformatics
#18
of 155 outputs
Altmetric has tracked 24,844,992 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,595 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 85% 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 291,304 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 83% of its contemporaries.
We're also able to compare this research output to 155 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.