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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
On-Line Resources for Xenopus
|
|---|---|
| Chapter number | 31 |
| Book title |
Xenopus Protocols
|
| Published in |
Methods in molecular biology, January 2012
|
| DOI | 10.1007/978-1-61779-992-1_31 |
| Pubmed ID | |
| Book ISBNs |
978-1-61779-991-4, 978-1-61779-992-1
|
| Authors |
Jeff Bowes |
| Abstract |
Since the advent of computational methods in biology, the quantity of biological data has grown exponentially. These data support genomic, genetic, developmental, and other forms of biological experimentation. The number of on-line resources has kept pace with the growth in data. Xenopus has perhaps lagged some of the other model organisms in developing resources, but is now quickly catching up. There are now a number of well-established and developing resources for Xenopus. This chapter looks beyond the widely known public databases, Genbank and the EBI, and describes how the researcher can use a number of central sites such as Xenbase, UniProtKB, and major genome browsers to navigate to a variety of different resources. |
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 % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 14% |
| Unknown | 6 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Librarian | 1 | 14% |
| Other | 1 | 14% |
| Student > Bachelor | 1 | 14% |
| Researcher | 1 | 14% |
| Student > Postgraduate | 1 | 14% |
| Other | 0 | 0% |
| Unknown | 2 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 29% |
| Computer Science | 2 | 29% |
| Agricultural and Biological Sciences | 1 | 14% |
| Unknown | 2 | 29% |
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 19 February 2013.
All research outputs
#18,329,207
of 22,696,971 outputs
Outputs from Methods in molecular biology
#7,835
of 13,046 outputs
Outputs of similar age
#196,010
of 244,144 outputs
Outputs of similar age from Methods in molecular biology
#326
of 474 outputs
Altmetric has tracked 22,696,971 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,046 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 24th percentile – i.e., 24% 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 244,144 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 474 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.