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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Visualization and Analysis of 3D Microscopic Images
|
|---|---|
| Published in |
PLoS Computational Biology, June 2012
|
| DOI | 10.1371/journal.pcbi.1002519 |
| Pubmed ID | |
| Authors |
Fuhui Long, Jianlong Zhou, Hanchuan Peng |
| Abstract |
In a wide range of biological studies, it is highly desirable to visualize and analyze three-dimensional (3D) microscopic images. In this primer, we first introduce several major methods for visualizing typical 3D images and related multi-scale, multi-time-point, multi-color data sets. Then, we discuss three key categories of image analysis tasks, namely segmentation, registration, and annotation. We demonstrate how to pipeline these visualization and analysis modules using examples of profiling the single-cell gene-expression of C. elegans and constructing a map of stereotyped neurite tracts in a fruit fly brain. |
X Demographics
The data shown below were collected from the profiles of 18 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 | 3 | 17% |
| United Kingdom | 3 | 17% |
| Curaçao | 1 | 6% |
| Switzerland | 1 | 6% |
| Canada | 1 | 6% |
| Czechia | 1 | 6% |
| France | 1 | 6% |
| Colombia | 1 | 6% |
| Unknown | 6 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 8 | 44% |
| Members of the public | 6 | 33% |
| Science communicators (journalists, bloggers, editors) | 2 | 11% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
| Unknown | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 239 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 5 | 2% |
| United States | 3 | 1% |
| France | 2 | <1% |
| United Kingdom | 2 | <1% |
| Japan | 2 | <1% |
| Ukraine | 1 | <1% |
| Colombia | 1 | <1% |
| Portugal | 1 | <1% |
| Spain | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 221 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 70 | 29% |
| Student > Ph. D. Student | 53 | 22% |
| Student > Master | 25 | 10% |
| Professor > Associate Professor | 18 | 8% |
| Student > Bachelor | 12 | 5% |
| Other | 31 | 13% |
| Unknown | 30 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 78 | 33% |
| Computer Science | 26 | 11% |
| Engineering | 25 | 10% |
| Biochemistry, Genetics and Molecular Biology | 22 | 9% |
| Neuroscience | 16 | 7% |
| Other | 35 | 15% |
| Unknown | 37 | 15% |
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 20 January 2017.
All research outputs
#3,415,510
of 25,374,917 outputs
Outputs from PLoS Computational Biology
#3,021
of 8,960 outputs
Outputs of similar age
#22,059
of 181,087 outputs
Outputs of similar age from PLoS Computational Biology
#30
of 105 outputs
Altmetric has tracked 25,374,917 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 8,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has gotten more attention than average, scoring higher than 65% 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 181,087 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 87% of its contemporaries.
We're also able to compare this research output to 105 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 70% of its contemporaries.