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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
A Gene Ontology Tutorial in Python
|
|---|---|
| Chapter number | 16 |
| Book title |
The Gene Ontology Handbook
|
| Published in |
Methods in molecular biology, January 2017
|
| DOI | 10.1007/978-1-4939-3743-1_16 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3741-7, 978-1-4939-3743-1
|
| Authors |
Alex Warwick Vesztrocy, Christophe Dessimoz, Vesztrocy, AW, Dessimoz, C, Vesztrocy, Alex Warwick, Dessimoz, Christophe |
| Editors |
Christophe Dessimoz, Nives Škunca |
| Abstract |
This chapter is a tutorial on using Gene Ontology resources in the Python programming language. This entails querying the Gene Ontology graph, retrieving Gene Ontology annotations, performing gene enrichment analyses, and computing basic semantic similarity between GO terms. An interactive version of the tutorial, including solutions, is available at http://gohandbook.org . |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sao Tome and Principe | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 3% |
| Mexico | 1 | 3% |
| Unknown | 37 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 21% |
| Researcher | 7 | 18% |
| Student > Bachelor | 7 | 18% |
| Student > Master | 4 | 10% |
| Professor > Associate Professor | 2 | 5% |
| Other | 1 | 3% |
| Unknown | 10 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 9 | 23% |
| Agricultural and Biological Sciences | 7 | 18% |
| Computer Science | 4 | 10% |
| Engineering | 2 | 5% |
| Mathematics | 1 | 3% |
| Other | 4 | 10% |
| Unknown | 12 | 31% |
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 29 November 2020.
All research outputs
#14,869,124
of 22,899,952 outputs
Outputs from Methods in molecular biology
#4,704
of 13,134 outputs
Outputs of similar age
#242,392
of 420,444 outputs
Outputs of similar age from Methods in molecular biology
#413
of 1,074 outputs
Altmetric has tracked 22,899,952 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% 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 has gotten more attention than average, scoring higher than 59% 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 420,444 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% 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 has gotten more attention than average, scoring higher than 56% of its contemporaries.