You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
A Growth-Based Screening System for Hexose Transporters in Yeast
|
|---|---|
| Chapter number | 10 |
| Book title |
Glucose Transport
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7507-5_10 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7506-8, 978-1-4939-7507-5
|
| Authors |
Eckhard Boles, Mislav Oreb |
| Abstract |
As the simplest eukaryotic model system, the unicellular yeast Saccharomyces cerevisiae is ideally suited for quick and simple functional studies as well as for high-throughput screening. We generated a strain deficient for all endogenous hexose transporters, which has been successfully used to clone, characterize, and engineer carbohydrate transporters from different source organisms. Here we present basic protocols for handling this strain and characterizing sugar transporters heterologously expressed in it. |
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 % |
|---|---|---|
| France | 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 27% |
| Student > Ph. D. Student | 3 | 20% |
| Researcher | 2 | 13% |
| Student > Doctoral Student | 1 | 7% |
| Student > Bachelor | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 3 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 40% |
| Agricultural and Biological Sciences | 3 | 20% |
| Chemical Engineering | 1 | 7% |
| Engineering | 1 | 7% |
| Unknown | 4 | 27% |
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 09 December 2017.
All research outputs
#20,454,971
of 23,011,300 outputs
Outputs from Methods in molecular biology
#9,941
of 13,157 outputs
Outputs of similar age
#378,156
of 442,319 outputs
Outputs of similar age from Methods in molecular biology
#1,193
of 1,498 outputs
Altmetric has tracked 23,011,300 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,157 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% 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 442,319 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,498 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.