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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Best practices for bioinformatic characterization of neoantigens for clinical utility
|
|---|---|
| Published in |
Genome Medicine, August 2019
|
| DOI | 10.1186/s13073-019-0666-2 |
| Pubmed ID | |
| Authors |
Megan M. Richters, Huiming Xia, Katie M. Campbell, William E. Gillanders, Obi L. Griffith, Malachi Griffith |
X Demographics
The data shown below were collected from the profiles of 44 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 | 15 | 34% |
| United Kingdom | 4 | 9% |
| Spain | 1 | 2% |
| Thailand | 1 | 2% |
| Austria | 1 | 2% |
| Hungary | 1 | 2% |
| Hong Kong | 1 | 2% |
| Russia | 1 | 2% |
| Malaysia | 1 | 2% |
| Other | 9 | 20% |
| Unknown | 9 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 23 | 52% |
| Members of the public | 15 | 34% |
| Practitioners (doctors, other healthcare professionals) | 5 | 11% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 381 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 381 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 88 | 23% |
| Student > Ph. D. Student | 68 | 18% |
| Student > Master | 39 | 10% |
| Student > Bachelor | 26 | 7% |
| Other | 20 | 5% |
| Other | 40 | 10% |
| Unknown | 100 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 100 | 26% |
| Agricultural and Biological Sciences | 54 | 14% |
| Immunology and Microbiology | 31 | 8% |
| Medicine and Dentistry | 30 | 8% |
| Computer Science | 19 | 5% |
| Other | 37 | 10% |
| Unknown | 110 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 43. 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 27 July 2023.
All research outputs
#951,724
of 25,200,621 outputs
Outputs from Genome Medicine
#184
of 1,558 outputs
Outputs of similar age
#20,005
of 346,859 outputs
Outputs of similar age from Genome Medicine
#4
of 18 outputs
Altmetric has tracked 25,200,621 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,558 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.1. This one has done well, scoring higher than 88% 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 346,859 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 94% of its contemporaries.
We're also able to compare this research output to 18 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.