| Title |
larvalign: Aligning Gene Expression Patterns from the Larval Brain of Drosophila melanogaster
|
|---|---|
| Published in |
Neuroinformatics, November 2017
|
| DOI | 10.1007/s12021-017-9349-6 |
| Pubmed ID | |
| Authors |
Sascha E. A. Muenzing, Martin Strauch, James W. Truman, Katja Bühler, Andreas S. Thum, Dorit Merhof |
| Abstract |
The larval brain of the fruit fly Drosophila melanogaster is a small, tractable model system for neuroscience. Genes for fluorescent marker proteins can be expressed in defined, spatially restricted neuron populations. Here, we introduce the methods for 1) generating a standard template of the larval central nervous system (CNS), 2) spatial mapping of expression patterns from different larvae into a reference space defined by the standard template. We provide a manually annotated gold standard that serves for evaluation of the registration framework involved in template generation and mapping. A method for registration quality assessment enables the automatic detection of registration errors, and a semi-automatic registration method allows one to correct registrations, which is a prerequisite for a high-quality, curated database of expression patterns. All computational methods are available within the larvalign software package: https://github.com/larvalign/larvalign/releases/tag/v1.0. |
X Demographics
The data shown below were collected from the profiles of 12 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 | 25% |
| United Kingdom | 2 | 17% |
| Portugal | 1 | 8% |
| Unknown | 6 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 58% |
| Scientists | 5 | 42% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 16% |
| Researcher | 6 | 16% |
| Student > Bachelor | 4 | 11% |
| Professor | 3 | 8% |
| Student > Doctoral Student | 2 | 5% |
| Other | 9 | 24% |
| Unknown | 8 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 15 | 39% |
| Agricultural and Biological Sciences | 6 | 16% |
| Biochemistry, Genetics and Molecular Biology | 4 | 11% |
| Computer Science | 2 | 5% |
| Engineering | 2 | 5% |
| Other | 1 | 3% |
| Unknown | 8 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 07 September 2021.
All research outputs
#6,325,363
of 25,537,395 outputs
Outputs from Neuroinformatics
#111
of 425 outputs
Outputs of similar age
#94,020
of 339,856 outputs
Outputs of similar age from Neuroinformatics
#2
of 7 outputs
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So far Altmetric has tracked 425 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 73% of its peers.
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We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.