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X Demographics
Mendeley readers
Attention Score in Context
| Title |
TruNeo: an integrated pipeline improves personalized true tumor neoantigen identification
|
|---|---|
| Published in |
BMC Bioinformatics, November 2020
|
| DOI | 10.1186/s12859-020-03869-9 |
| Pubmed ID | |
| Authors |
Yunxia Tang, Yu Wang, Jiaqian Wang, Miao Li, Linmin Peng, Guochao Wei, Yixing Zhang, Jin Li, Zhibo Gao |
X Demographics
The data shown below were collected from the profiles of 5 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 Kingdom | 2 | 40% |
| Sweden | 1 | 20% |
| India | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 60% |
| Members of the public | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 18% |
| Student > Master | 7 | 14% |
| Other | 6 | 12% |
| Student > Ph. D. Student | 4 | 8% |
| Student > Bachelor | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 15 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 12 | 24% |
| Immunology and Microbiology | 7 | 14% |
| Medicine and Dentistry | 5 | 10% |
| Agricultural and Biological Sciences | 3 | 6% |
| Computer Science | 3 | 6% |
| Other | 6 | 12% |
| Unknown | 13 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 12 May 2022.
All research outputs
#6,188,464
of 23,263,851 outputs
Outputs from BMC Bioinformatics
#2,294
of 7,365 outputs
Outputs of similar age
#150,340
of 506,708 outputs
Outputs of similar age from BMC Bioinformatics
#59
of 168 outputs
Altmetric has tracked 23,263,851 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 7,365 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 gotten more attention than average, scoring higher than 68% 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 506,708 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 168 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.