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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Labeling of Membrane Complexes for Electron Microscopy
|
|---|---|
| Chapter number | 7 |
| Book title |
Membrane Protein Structure and Function Characterization
|
| Published in |
Methods in molecular biology, January 2017
|
| DOI | 10.1007/978-1-4939-7151-0_7 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7149-7, 978-1-4939-7151-0
|
| Authors |
Francesca Gubellini, Rémi Fronzes, Gubellini, Francesca, Fronzes, Rémi |
| Abstract |
Localization of specific subunits or domains of interest inside protein complexes can be challenging, especially for membrane machineries. The amphipatic nature of their subunits and their modular organization results in difficult genetic manipulation and instability upon purification. Here, we present different labeling approaches that have been demonstrated successful in the structural characterization of large membrane complexes. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 40% |
| India | 1 | 20% |
| Germany | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 67% |
| Unknown | 1 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 67% |
| Unknown | 1 | 33% |
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 04 August 2017.
All research outputs
#12,757,102
of 22,996,001 outputs
Outputs from Methods in molecular biology
#3,172
of 13,151 outputs
Outputs of similar age
#195,205
of 421,191 outputs
Outputs of similar age from Methods in molecular biology
#292
of 1,074 outputs
Altmetric has tracked 22,996,001 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 13,151 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 75% 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 421,191 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
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 72% of its contemporaries.