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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Statistical methods for analyzing immunosignatures
|
|---|---|
| Published in |
BMC Bioinformatics, August 2011
|
| DOI | 10.1186/1471-2105-12-349 |
| Pubmed ID | |
| Authors |
Justin R Brown, Phillip Stafford, Stephen A Johnston, Valentin Dinu |
| Abstract |
Immunosignaturing is a new peptide microarray based technology for profiling of humoral immune responses. Despite new challenges, immunosignaturing gives us the opportunity to explore new and fundamentally different research questions. In addition to classifying samples based on disease status, the complex patterns and latent factors underlying immunosignatures, which we attempt to model, may have a diverse range of applications. |
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 % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 5% |
| United Kingdom | 1 | 2% |
| Unknown | 38 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 32% |
| Student > Ph. D. Student | 11 | 27% |
| Student > Master | 3 | 7% |
| Student > Doctoral Student | 2 | 5% |
| Professor | 2 | 5% |
| Other | 5 | 12% |
| Unknown | 5 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 11 | 27% |
| Biochemistry, Genetics and Molecular Biology | 7 | 17% |
| Immunology and Microbiology | 4 | 10% |
| Medicine and Dentistry | 4 | 10% |
| Engineering | 4 | 10% |
| Other | 6 | 15% |
| Unknown | 5 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 03 October 2023.
All research outputs
#2,366,621
of 22,757,090 outputs
Outputs from BMC Bioinformatics
#722
of 7,272 outputs
Outputs of similar age
#12,003
of 123,977 outputs
Outputs of similar age from BMC Bioinformatics
#9
of 77 outputs
Altmetric has tracked 22,757,090 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,272 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done particularly well, scoring higher than 90% 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 123,977 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 90% of its contemporaries.
We're also able to compare this research output to 77 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.