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X Demographics
Mendeley readers
Attention Score in Context
Title |
Uncovering Thousands of New Peptides with Sequence-Mask-Search Hybrid De Novo Peptide Sequencing Framework
|
---|---|
Published in |
Molecular and Cellular Proteomics, October 2019
|
DOI | 10.1074/mcp.tir119.001656 |
Pubmed ID | |
Authors |
Korrawe Karunratanakul, Hsin-Yao Tang, David W Speicher, Ekapol Chuangsuwanich, Sira Sriswasdi |
X Demographics
The data shown below were collected from the profiles of 18 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 | 6 | 33% |
Sweden | 1 | 6% |
Netherlands | 1 | 6% |
Denmark | 1 | 6% |
Germany | 1 | 6% |
Canada | 1 | 6% |
Unknown | 7 | 39% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 11 | 61% |
Scientists | 5 | 28% |
Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 85 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 21 | 25% |
Student > Ph. D. Student | 16 | 19% |
Student > Bachelor | 6 | 7% |
Student > Master | 4 | 5% |
Other | 4 | 5% |
Other | 12 | 14% |
Unknown | 22 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 21 | 25% |
Agricultural and Biological Sciences | 13 | 15% |
Chemistry | 7 | 8% |
Immunology and Microbiology | 6 | 7% |
Computer Science | 4 | 5% |
Other | 11 | 13% |
Unknown | 23 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 01 January 2020.
All research outputs
#2,152,366
of 25,420,980 outputs
Outputs from Molecular and Cellular Proteomics
#302
of 3,223 outputs
Outputs of similar age
#45,168
of 365,538 outputs
Outputs of similar age from Molecular and Cellular Proteomics
#10
of 39 outputs
Altmetric has tracked 25,420,980 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,223 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done particularly well, scoring higher than 90% 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 365,538 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 39 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 74% of its contemporaries.