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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Statistical classifiers for diagnosing disease from immune repertoires: a case study using multiple sclerosis
|
|---|---|
| Published in |
BMC Bioinformatics, September 2017
|
| DOI | 10.1186/s12859-017-1814-6 |
| Pubmed ID | |
| Authors |
Jared Ostmeyer, Scott Christley, William H. Rounds, Inimary Toby, Benjamin M. Greenberg, Nancy L. Monson, Lindsay G. Cowell |
X Demographics
The data shown below were collected from the profiles of 7 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 | 2 | 29% |
| Germany | 1 | 14% |
| Unknown | 4 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Scientists | 2 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 115 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 18% |
| Researcher | 20 | 17% |
| Student > Master | 15 | 13% |
| Student > Bachelor | 12 | 10% |
| Student > Postgraduate | 8 | 7% |
| Other | 20 | 17% |
| Unknown | 19 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 16 | 14% |
| Immunology and Microbiology | 16 | 14% |
| Medicine and Dentistry | 15 | 13% |
| Agricultural and Biological Sciences | 14 | 12% |
| Computer Science | 14 | 12% |
| Other | 20 | 17% |
| Unknown | 20 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 09 May 2019.
All research outputs
#4,814,222
of 26,017,215 outputs
Outputs from BMC Bioinformatics
#1,691
of 7,793 outputs
Outputs of similar age
#75,909
of 327,150 outputs
Outputs of similar age from BMC Bioinformatics
#21
of 101 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,793 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done well, scoring higher than 78% 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 327,150 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 76% of its contemporaries.
We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.