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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Functional Annotation of Differentially Regulated Gene Set Using WebGestalt: A Gene Set Predictive of Response to Ipilimumab in Tumor Biopsies.
|
|---|---|
| Chapter number | 3 |
| Book title |
Gene Function Analysis
|
| Published in |
Methods in molecular biology, January 2014
|
| DOI | 10.1007/978-1-62703-721-1_3 |
| Pubmed ID | |
| Book ISBNs |
978-1-62703-720-4, 978-1-62703-721-1
|
| Authors |
Stefan Kirov, Ruiru Ji, Jing Wang, Bing Zhang, Kirov, Stefan, Ji, Ruiru, Wang, Jing, Zhang, Bing |
| Abstract |
Most high-throughput methods which are used in molecular biology generate gene lists. Interpreting large gene lists can reveal mechanistic insights and generate useful testable hypotheses. The process can be cumbersome and challenging. Multiple commercial and open solution currently exist that can aid researchers in the functional annotation of gene lists. The process of gene set annotation includes dataset preparation, which is method specific, gene list annotation and analysis and interpretation of the significant associations that were found. In this chapter, we demonstrate how WebGestalt can be applied to gene lists generated from transcriptional profiling data. |
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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Belgium | 1 | 7% |
| Unknown | 13 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 36% |
| Student > Ph. D. Student | 2 | 14% |
| Student > Master | 2 | 14% |
| Student > Doctoral Student | 1 | 7% |
| Professor > Associate Professor | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 3 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 36% |
| Medicine and Dentistry | 3 | 21% |
| Biochemistry, Genetics and Molecular Biology | 2 | 14% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 7% |
| Unknown | 3 | 21% |
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 16 November 2013.
All research outputs
#15,285,728
of 22,731,677 outputs
Outputs from Methods in molecular biology
#5,308
of 13,086 outputs
Outputs of similar age
#189,931
of 305,164 outputs
Outputs of similar age from Methods in molecular biology
#199
of 594 outputs
Altmetric has tracked 22,731,677 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 13,086 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 45th percentile – i.e., 45% 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 305,164 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 594 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.