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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Precision De Novo Peptide Sequencing Using Mirror Proteases of Ac-LysargiNase and Trypsin for Large-scale Proteomics* [S]
|
|---|---|
| Published in |
Molecular and Cellular Proteomics, January 2019
|
| DOI | 10.1074/mcp.tir118.000918 |
| Pubmed ID | |
| Authors |
Hao Yang, Yan-Chang Li, Ming-Zhi Zhao, Fei-Lin Wu, Xi Wang, Wei-Di Xiao, Yi-Hao Wang, Jun-Ling Zhang, Fu-Qiang Wang, Feng Xu, Wen-Feng Zeng, Christopher M Overall, Si-Min He, Hao Chi, Ping Xu |
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 | 8 | 47% |
| Australia | 3 | 18% |
| United Kingdom | 1 | 6% |
| Unknown | 5 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 47% |
| Scientists | 7 | 41% |
| 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 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 | 10 | 20% |
| Student > Ph. D. Student | 8 | 16% |
| Student > Master | 5 | 10% |
| Other | 4 | 8% |
| Student > Bachelor | 2 | 4% |
| Other | 7 | 14% |
| Unknown | 13 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 14 | 29% |
| Agricultural and Biological Sciences | 7 | 14% |
| Computer Science | 2 | 4% |
| Chemistry | 2 | 4% |
| Unspecified | 1 | 2% |
| Other | 4 | 8% |
| Unknown | 19 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 17 January 2020.
All research outputs
#2,015,181
of 25,420,980 outputs
Outputs from Molecular and Cellular Proteomics
#265
of 3,223 outputs
Outputs of similar age
#46,088
of 446,676 outputs
Outputs of similar age from Molecular and Cellular Proteomics
#6
of 49 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 92nd 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 91% 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 446,676 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 89% of its contemporaries.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.