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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The neoepitope landscape in pediatric cancers
|
|---|---|
| Published in |
Genome Medicine, August 2017
|
| DOI | 10.1186/s13073-017-0468-3 |
| Pubmed ID | |
| Authors |
Ti-Cheng Chang, Robert A. Carter, Yongjin Li, Yuxin Li, Hong Wang, Michael N. Edmonson, Xiang Chen, Paula Arnold, Terrence L. Geiger, Gang Wu, Junmin Peng, Michael Dyer, James R. Downing, Douglas R. Green, Paul G. Thomas, Jinghui Zhang |
X Demographics
The data shown below were collected from the profiles of 17 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 | 7 | 41% |
| United Kingdom | 2 | 12% |
| Canada | 1 | 6% |
| Sweden | 1 | 6% |
| Syrian Arab Republic | 1 | 6% |
| Unknown | 5 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 8 | 47% |
| Members of the public | 8 | 47% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 107 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 25 | 23% |
| Researcher | 15 | 14% |
| Other | 13 | 12% |
| Student > Master | 12 | 11% |
| Student > Bachelor | 9 | 8% |
| Other | 14 | 13% |
| Unknown | 19 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 24 | 22% |
| Medicine and Dentistry | 20 | 19% |
| Agricultural and Biological Sciences | 16 | 15% |
| Immunology and Microbiology | 12 | 11% |
| Computer Science | 5 | 5% |
| Other | 8 | 7% |
| Unknown | 22 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 26. 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 18 July 2019.
All research outputs
#1,365,990
of 23,923,788 outputs
Outputs from Genome Medicine
#299
of 1,477 outputs
Outputs of similar age
#28,383
of 318,844 outputs
Outputs of similar age from Genome Medicine
#6
of 24 outputs
Altmetric has tracked 23,923,788 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,477 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.4. This one has done well, scoring higher than 79% 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 318,844 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 91% of its contemporaries.
We're also able to compare this research output to 24 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.