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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Molecular Genetics of Asthma
|
|---|---|
| Chapter number | 7 |
| Book title |
Molecular Genetics of Asthma
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3652-6_7 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3650-2, 978-1-4939-3652-6
|
| Authors |
García-Solaesa, Virginia, Sanz-Lozano, Catalina S, Virginia García-Solaesa, Catalina S. Sanz-Lozano, Sanz-Lozano, Catalina S. |
| Abstract |
Electrophoretic mobility shift assays (EMSA) are used to characterize interactions between nucleic acids and proteins in native conditions. This is based on the fact that the electrophoretic mobility of a nucleic acid becomes slower when it forms complexes with proteins. There are many different variants and applications of this methodology. In this chapter we describe a detailed EMSA protocol applied to the study of asthma. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor > Associate Professor | 1 | 25% |
| Student > Bachelor | 1 | 25% |
| Researcher | 1 | 25% |
| Student > Master | 1 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 100% |
| Immunology and Microbiology | 1 | 25% |
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 21 December 2017.
All research outputs
#14,614,223
of 23,393,453 outputs
Outputs from Methods in molecular biology
#4,318
of 13,324 outputs
Outputs of similar age
#209,399
of 396,407 outputs
Outputs of similar age from Methods in molecular biology
#424
of 1,472 outputs
Altmetric has tracked 23,393,453 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,324 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 63% 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 396,407 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,472 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 67% of its contemporaries.