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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Get GO! Retrieving GO Data Using AmiGO, QuickGO, API, Files, and Tools
|
|---|---|
| Chapter number | 11 |
| Book title |
The Gene Ontology Handbook
|
| Published in |
Methods in molecular biology, January 2017
|
| DOI | 10.1007/978-1-4939-3743-1_11 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3741-7, 978-1-4939-3743-1
|
| Authors |
Monica Munoz-Torres, Seth Carbon |
| Editors |
Christophe Dessimoz, Nives Škunca |
| Abstract |
The Gene Ontology Consortium (GOC) produces a wealth of resources widely used throughout the scientific community. In this chapter, we discuss the different ways in which researchers can access the resources of the GOC. We here share details about the mechanics of obtaining GO annotations, both by manually browsing, querying, and downloading data from the GO website, as well as computationally accessing the resources from the command line, including the ability to restrict the data being retrieved to subsets with only certain attributes. |
X Demographics
The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 21% |
| Canada | 1 | 7% |
| Italy | 1 | 7% |
| Taiwan | 1 | 7% |
| Sweden | 1 | 7% |
| Switzerland | 1 | 7% |
| Unknown | 6 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 57% |
| Scientists | 6 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 4% |
| Israel | 1 | 4% |
| Unknown | 25 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 30% |
| Student > Master | 4 | 15% |
| Student > Ph. D. Student | 4 | 15% |
| Student > Bachelor | 3 | 11% |
| Student > Doctoral Student | 2 | 7% |
| Other | 2 | 7% |
| Unknown | 4 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 30% |
| Agricultural and Biological Sciences | 7 | 26% |
| Medicine and Dentistry | 2 | 7% |
| Mathematics | 1 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 7 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 07 December 2016.
All research outputs
#4,198,179
of 25,056,530 outputs
Outputs from Methods in molecular biology
#1,046
of 14,096 outputs
Outputs of similar age
#77,552
of 432,184 outputs
Outputs of similar age from Methods in molecular biology
#115
of 1,084 outputs
Altmetric has tracked 25,056,530 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,096 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 92% 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 432,184 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 1,084 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.