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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Guide to Bioinformatics for Immunologists
|
|---|---|
| Published in |
Frontiers in immunology, January 2013
|
| DOI | 10.3389/fimmu.2013.00416 |
| Pubmed ID | |
| Authors |
Fiona J. Whelan, Nicholas V. L. Yap, Michael G. Surette, G. Brian Golding, Dawn M. E. Bowdish |
| Abstract |
Bioinformatics includes a suite of methods, which are cheap, approachable, and many of which are easily accessible without any sort of specialized bioinformatic training. Yet, despite this, bioinformatic tools are under-utilized by immunologists. Herein, we review a representative set of publicly available, easy-to-use bioinformatic tools using our own research on an under-annotated human gene, SCARA3, as an example. SCARA3 shares an evolutionary relationship with the class A scavenger receptors, but preliminary research showed that it was divergent enough that its function remained unclear. In our quest for more information about this gene - did it share gene sequence similarities to other scavenger receptors? Did it contain conserved protein domains? Where was it expressed in the human body? - we discovered the power and informative potential of publicly available bioinformatic tools designed for the novice in mind, which allowed us to hypothesize on the regulation, structure, and function of this protein. We argue that these tools are largely applicable to many facets of immunology research. |
X Demographics
The data shown below were collected from the profiles of 13 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 | 4 | 31% |
| Canada | 2 | 15% |
| France | 1 | 8% |
| Colombia | 1 | 8% |
| Switzerland | 1 | 8% |
| United Kingdom | 1 | 8% |
| Unknown | 3 | 23% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 85% |
| Scientists | 2 | 15% |
Mendeley readers
The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 3 | 3% |
| United Kingdom | 2 | 2% |
| Korea, Republic of | 1 | <1% |
| Colombia | 1 | <1% |
| Mexico | 1 | <1% |
| Denmark | 1 | <1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 106 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 33 | 28% |
| Student > Ph. D. Student | 22 | 19% |
| Student > Master | 13 | 11% |
| Student > Bachelor | 10 | 9% |
| Student > Doctoral Student | 6 | 5% |
| Other | 18 | 15% |
| Unknown | 15 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 43 | 37% |
| Biochemistry, Genetics and Molecular Biology | 22 | 19% |
| Immunology and Microbiology | 21 | 18% |
| Medicine and Dentistry | 5 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 2% |
| Other | 9 | 8% |
| Unknown | 15 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 11 January 2014.
All research outputs
#3,729,371
of 25,584,565 outputs
Outputs from Frontiers in immunology
#4,166
of 32,016 outputs
Outputs of similar age
#36,321
of 290,010 outputs
Outputs of similar age from Frontiers in immunology
#46
of 503 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 32,016 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has done well, scoring higher than 87% 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 290,010 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 87% of its contemporaries.
We're also able to compare this research output to 503 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.