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Attention Score in Context
Chapter title |
Eukaryotic Transcriptional and Post-Transcriptional Gene Expression Regulation
|
---|---|
Chapter number | 18 |
Book title |
Eukaryotic Transcriptional and Post-Transcriptional Gene Expression Regulation
|
Published in |
Methods in molecular biology, January 2017
|
DOI | 10.1007/978-1-4939-6518-2_18 |
Pubmed ID | |
Book ISBNs |
978-1-4939-6516-8, 978-1-4939-6518-2
|
Authors |
DeVaux, Rebecca S, Kuentzel, Marcy, Herschkowitz, Jason, Chittur, Sridar V, Rebecca S. DeVaux, Marcy Kuentzel, Jason Herschkowitz, Sridar V. Chittur |
Editors |
Narendra Wajapeyee, Romi Gupta |
Abstract |
Understanding differential isoform expression is critical to mechanistically illuminate the biology underlying both normal development and disease states. High-throughput expression profiling analysis of splice variants has thus far been limited by sample requirements and an appropriate platform for quantitation and analysis. Here we describe Affymetrix GeneChip Human Transcriptome Array 2.0, which is employed for comprehensive examination of all known transcript isoforms. |
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 % |
---|---|---|
Unknown | 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 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 1 | 100% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 1 | 100% |
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 11 November 2016.
All research outputs
#15,392,529
of 22,899,952 outputs
Outputs from Methods in molecular biology
#5,355
of 13,134 outputs
Outputs of similar age
#256,337
of 420,444 outputs
Outputs of similar age from Methods in molecular biology
#465
of 1,074 outputs
Altmetric has tracked 22,899,952 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,134 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% 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 420,444 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% 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 is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.