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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Yeast as a Heterologous System to Functionally Characterize a Multiple Rust Resistance Gene that Encodes a Hexose Transporter
|
|---|---|
| Chapter number | 23 |
| Book title |
Wheat Rust Diseases
|
| Published in |
Methods in molecular biology, January 2017
|
| DOI | 10.1007/978-1-4939-7249-4_23 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7248-7, 978-1-4939-7249-4
|
| Authors |
Ricky J. Milne, Katherine E. Dibley, Evans S. Lagudah |
| Abstract |
Recently, the Lr67 resistance gene was identified as a hexose transporter variant which confers adult plant rust and mildew resistance in wheat. Methodologies used to characterize the protein encoded by Lr67 may be of use to non-transporter experts conducting similar experiments with other hexose transporters. Hence, in this chapter, we detail a protocol for the functional characterization of hexose transporter proteins in the Saccharomyces cerevisiae expression system. We also provide guidance on the use of metabolic inhibitors and competing sugars to probe transporter structural features, energization, and specificity. |
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 % |
|---|---|---|
| Canada | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 43% |
| Student > Ph. D. Student | 1 | 14% |
| Student > Bachelor | 1 | 14% |
| Student > Postgraduate | 1 | 14% |
| Unknown | 1 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 43% |
| Agricultural and Biological Sciences | 3 | 43% |
| Unknown | 1 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 01 September 2017.
All research outputs
#14,952,935
of 22,999,744 outputs
Outputs from Methods in molecular biology
#4,723
of 13,154 outputs
Outputs of similar age
#243,390
of 421,208 outputs
Outputs of similar age from Methods in molecular biology
#416
of 1,074 outputs
Altmetric has tracked 22,999,744 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,154 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 59% 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 421,208 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,074 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 56% of its contemporaries.