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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
Characterizing the expression of the human olfactory receptor gene family using a novel DNA microarray
|
|---|---|
| Published in |
Genome Biology, January 2007
|
| DOI | 10.1186/gb-2007-8-5-r86 |
| Pubmed ID | |
| Authors |
Xiaohong Zhang, Omar De la Cruz, Jayant M Pinto, Dan Nicolae, Stuart Firestein, Yoav Gilad |
| Abstract |
Olfactory receptor (OR) genes were discovered more than a decade ago, when Buck and Axel observed that, in rats, certain G-protein coupled receptors are expressed exclusively in the olfactory epithelium. Subsequently, protein sequence similarity was used to identify entire OR gene repertoires of a number of mammalian species, but only in mouse were these predictions followed up by expression studies in olfactory epithelium. To rectify this, we have developed a DNA microarray that contains probes for most predicted human OR loci and used that array to examine OR gene expression profiles in olfactory epithelium tissues from three individuals. |
Twitter Demographics
The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 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 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 5% |
| Germany | 2 | 2% |
| Denmark | 2 | 2% |
| Greece | 1 | 1% |
| Unknown | 90 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 29 | 29% |
| Student > Ph. D. Student | 24 | 24% |
| Professor | 8 | 8% |
| Professor > Associate Professor | 8 | 8% |
| Student > Master | 7 | 7% |
| Other | 19 | 19% |
| Unknown | 5 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 51 | 51% |
| Biochemistry, Genetics and Molecular Biology | 10 | 10% |
| Neuroscience | 8 | 8% |
| Chemistry | 6 | 6% |
| Medicine and Dentistry | 5 | 5% |
| Other | 11 | 11% |
| Unknown | 9 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 May 2023.
All research outputs
#4,791,688
of 24,003,070 outputs
Outputs from Genome Biology
#2,712
of 4,279 outputs
Outputs of similar age
#21,207
of 162,086 outputs
Outputs of similar age from Genome Biology
#45
of 144 outputs
Altmetric has tracked 24,003,070 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,279 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.9. This one is in the 36th percentile – i.e., 36% 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 162,086 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 86% of its contemporaries.
We're also able to compare this research output to 144 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 68% of its contemporaries.