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Mendeley readers
Attention Score in Context
Title |
Comparative gene expression between two yeast species
|
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Published in |
BMC Genomics, January 2013
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DOI | 10.1186/1471-2164-14-33 |
Pubmed ID | |
Authors |
Yuanfang Guan, Maitreya J Dunham, Olga G Troyanskaya, Amy A Caudy |
Abstract |
Comparative genomics brings insight into sequence evolution, but even more may be learned by coupling sequence analyses with experimental tests of gene function and regulation. However, the reliability of such comparisons is often limited by biased sampling of expression conditions and incomplete knowledge of gene functions across species. To address these challenges, we previously systematically generated expression profiles in Saccharomyces bayanus to maximize functional coverage as compared to an existing Saccharomyces cerevisiae data repository. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 1 | 33% |
United Kingdom | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 33% |
Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 6 | 8% |
Netherlands | 1 | 1% |
Slovakia | 1 | 1% |
Canada | 1 | 1% |
Taiwan | 1 | 1% |
France | 1 | 1% |
Mexico | 1 | 1% |
Slovenia | 1 | 1% |
Thailand | 1 | 1% |
Other | 1 | 1% |
Unknown | 57 | 79% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 21 | 29% |
Student > Ph. D. Student | 20 | 28% |
Professor > Associate Professor | 6 | 8% |
Student > Bachelor | 5 | 7% |
Student > Doctoral Student | 4 | 6% |
Other | 11 | 15% |
Unknown | 5 | 7% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 40 | 56% |
Biochemistry, Genetics and Molecular Biology | 16 | 22% |
Computer Science | 4 | 6% |
Physics and Astronomy | 2 | 3% |
Linguistics | 1 | 1% |
Other | 2 | 3% |
Unknown | 7 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 25 January 2016.
All research outputs
#6,642,268
of 23,881,329 outputs
Outputs from BMC Genomics
#2,805
of 10,793 outputs
Outputs of similar age
#70,599
of 290,299 outputs
Outputs of similar age from BMC Genomics
#102
of 358 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 10,793 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.
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 290,299 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 75% of its contemporaries.
We're also able to compare this research output to 358 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.