You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Quick Guide to Teaching R Programming to Computational Biology Students
|
|---|---|
| Published in |
PLoS Computational Biology, August 2009
|
| DOI | 10.1371/journal.pcbi.1000482 |
| Pubmed ID | |
| Authors |
Stephen J. Eglen |
X Demographics
The data shown below were collected from the profiles of 24 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 Kingdom | 5 | 21% |
| United States | 5 | 21% |
| Japan | 4 | 17% |
| New Zealand | 1 | 4% |
| Finland | 1 | 4% |
| Colombia | 1 | 4% |
| China | 1 | 4% |
| Spain | 1 | 4% |
| Unknown | 5 | 21% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 50% |
| Scientists | 11 | 46% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 763 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 39 | 5% |
| United Kingdom | 26 | 3% |
| Germany | 23 | 3% |
| Brazil | 19 | 2% |
| Italy | 7 | <1% |
| Japan | 7 | <1% |
| Mexico | 7 | <1% |
| France | 6 | <1% |
| Spain | 6 | <1% |
| Other | 60 | 8% |
| Unknown | 563 | 74% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 228 | 30% |
| Student > Ph. D. Student | 150 | 20% |
| Student > Master | 68 | 9% |
| Professor > Associate Professor | 61 | 8% |
| Student > Bachelor | 54 | 7% |
| Other | 163 | 21% |
| Unknown | 39 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 406 | 53% |
| Biochemistry, Genetics and Molecular Biology | 64 | 8% |
| Computer Science | 48 | 6% |
| Medicine and Dentistry | 34 | 4% |
| Environmental Science | 32 | 4% |
| Other | 130 | 17% |
| Unknown | 49 | 6% |
Attention Score in Context
This research output has an Altmetric Attention Score of 24. 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 08 June 2020.
All research outputs
#1,561,390
of 25,371,288 outputs
Outputs from PLoS Computational Biology
#1,327
of 8,958 outputs
Outputs of similar age
#4,431
of 101,028 outputs
Outputs of similar age from PLoS Computational Biology
#8
of 49 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,958 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has done well, scoring higher than 85% 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 101,028 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.