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ProGeo-neo: a customized proteogenomic workflow for neoantigen prediction and selection

Overview of attention for article published in BMC Medical Genomics, April 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
66 Mendeley
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Title
ProGeo-neo: a customized proteogenomic workflow for neoantigen prediction and selection
Published in
BMC Medical Genomics, April 2020
DOI 10.1186/s12920-020-0683-4
Pubmed ID
Authors

Yuyu Li, Guangzhi Wang, Xiaoxiu Tan, Jian Ouyang, Menghuan Zhang, Xiaofeng Song, Qi Liu, Qibin Leng, Lanming Chen, Lu Xie

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 66 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 21%
Researcher 7 11%
Student > Master 6 9%
Other 2 3%
Student > Bachelor 2 3%
Other 5 8%
Unknown 30 45%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 26%
Agricultural and Biological Sciences 8 12%
Immunology and Microbiology 4 6%
Medicine and Dentistry 3 5%
Computer Science 2 3%
Other 3 5%
Unknown 29 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 15 February 2024.
All research outputs
#8,759,452
of 25,837,817 outputs
Outputs from BMC Medical Genomics
#662
of 2,466 outputs
Outputs of similar age
#166,983
of 401,096 outputs
Outputs of similar age from BMC Medical Genomics
#13
of 57 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,466 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 63% 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 401,096 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 52% of its contemporaries.
We're also able to compare this research output to 57 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 73% of its contemporaries.