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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Exploration and visualization of gene expression with neuroanatomy in the adult mouse brain
|
|---|---|
| Published in |
BMC Bioinformatics, March 2008
|
| DOI | 10.1186/1471-2105-9-153 |
| Pubmed ID | |
| Authors |
Christopher Lau, Lydia Ng, Carol Thompson, Sayan Pathak, Leonard Kuan, Allan Jones, Mike Hawrylycz |
| Abstract |
Spatially mapped large scale gene expression databases enable quantitative comparison of data measurements across genes, anatomy, and phenotype. In most ongoing efforts to study gene expression in the mammalian brain, significant resources are applied to the mapping and visualization of data. This paper describes the implementation and utility of Brain Explorer, a 3D visualization tool for studying in situ hybridization-based (ISH) expression patterns in the Allen Brain Atlas, a genome-wide survey of 21,000 expression patterns in the C57BL\6J adult mouse brain. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| Germany | 2 | 1% |
| Netherlands | 2 | 1% |
| Switzerland | 1 | <1% |
| France | 1 | <1% |
| Norway | 1 | <1% |
| Austria | 1 | <1% |
| Turkey | 1 | <1% |
| Canada | 1 | <1% |
| Other | 3 | 2% |
| Unknown | 139 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 42 | 27% |
| Researcher | 38 | 25% |
| Student > Master | 16 | 10% |
| Student > Bachelor | 11 | 7% |
| Professor | 8 | 5% |
| Other | 21 | 14% |
| Unknown | 19 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 56 | 36% |
| Neuroscience | 24 | 15% |
| Computer Science | 21 | 14% |
| Medicine and Dentistry | 12 | 8% |
| Biochemistry, Genetics and Molecular Biology | 10 | 6% |
| Other | 12 | 8% |
| Unknown | 20 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 03 October 2011.
All research outputs
#15,236,094
of 22,653,392 outputs
Outputs from BMC Bioinformatics
#5,355
of 7,236 outputs
Outputs of similar age
#69,254
of 81,590 outputs
Outputs of similar age from BMC Bioinformatics
#36
of 47 outputs
Altmetric has tracked 22,653,392 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,236 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 18th percentile – i.e., 18% of its peers scored the same or lower than it.
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 81,590 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.