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X Demographics
Mendeley readers
Attention Score in Context
| Title |
In silico Derivation of HLA-Specific Alloreactivity Potential from Whole Exome Sequencing of Stem-Cell Transplant Donors and Recipients: Understanding the Quantitative Immunobiology of Allogeneic Transplantation
|
|---|---|
| Published in |
Frontiers in immunology, November 2014
|
| DOI | 10.3389/fimmu.2014.00529 |
| Pubmed ID | |
| Authors |
Max Jameson-Lee, Vishal Koparde, Phil Griffith, Allison F. Scalora, Juliana K. Sampson, Haniya Khalid, Nihar U. Sheth, Michael Batalo, Myrna G. Serrano, Catherine H. Roberts, Michael L. Hess, Gregory A. Buck, Michael C. Neale, Masoud H. Manjili, Amir Ahmed Toor |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 3% |
| Unknown | 30 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 29% |
| Other | 5 | 16% |
| Student > Bachelor | 4 | 13% |
| Professor > Associate Professor | 4 | 13% |
| Professor | 2 | 6% |
| Other | 6 | 19% |
| Unknown | 1 | 3% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 9 | 29% |
| Medicine and Dentistry | 6 | 19% |
| Immunology and Microbiology | 3 | 10% |
| Engineering | 2 | 6% |
| Nursing and Health Professions | 1 | 3% |
| Other | 5 | 16% |
| Unknown | 5 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 36. 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 December 2014.
All research outputs
#1,141,480
of 26,017,215 outputs
Outputs from Frontiers in immunology
#995
of 32,223 outputs
Outputs of similar age
#12,775
of 280,568 outputs
Outputs of similar age from Frontiers in immunology
#8
of 193 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 32,223 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one has done particularly well, scoring higher than 96% 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 280,568 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 193 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 95% of its contemporaries.