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Mendeley readers
Attention Score in Context
| Title |
Study of gene function based on spatial co-expression in a high-resolution mouse brain atlas
|
|---|---|
| Published in |
BMC Systems Biology, April 2007
|
| DOI | 10.1186/1752-0509-1-19 |
| Pubmed ID | |
| Authors |
Zheng Liu, S Frank Yan, John R Walker, Theresa A Zwingman, Tao Jiang, Jing Li, Yingyao Zhou |
| Abstract |
The Allen Brain Atlas (ABA) project systematically profiles three-dimensional high-resolution gene expression in postnatal mouse brains for thousands of genes. By unveiling gene behaviors at both the cellular and molecular levels, ABA is becoming a unique and comprehensive neuroscience data source for decoding enigmatic biological processes in the brain. Given the unprecedented volume and complexity of the in situ hybridization image data, data mining in this area is extremely challenging. Currently, the ABA database mainly serves as an online reference for visual inspection of individual genes; the underlying rich information of this large data set is yet to be explored by novel computational tools. In this proof-of-concept study, we studied the hypothesis that genes sharing similar three-dimensional expression profiles in the mouse brain are likely to share similar biological functions. |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 3% |
| United States | 2 | 3% |
| Japan | 1 | 2% |
| France | 1 | 2% |
| Unknown | 57 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 30% |
| Student > Ph. D. Student | 14 | 22% |
| Professor > Associate Professor | 9 | 14% |
| Professor | 6 | 10% |
| Other | 3 | 5% |
| Other | 9 | 14% |
| Unknown | 3 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 25 | 40% |
| Biochemistry, Genetics and Molecular Biology | 10 | 16% |
| Medicine and Dentistry | 8 | 13% |
| Neuroscience | 7 | 11% |
| Computer Science | 4 | 6% |
| Other | 8 | 13% |
| Unknown | 1 | 2% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 22 December 2023.
All research outputs
#7,451,942
of 22,782,096 outputs
Outputs from BMC Systems Biology
#314
of 1,142 outputs
Outputs of similar age
#21,553
of 60,774 outputs
Outputs of similar age from BMC Systems Biology
#1
of 6 outputs
Altmetric has tracked 22,782,096 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one has gotten more attention than average, scoring higher than 64% 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 60,774 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them