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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Integration of Two In-depth Quantitative Proteomics Approaches Determines the Kallikrein-related Peptidase 7 (KLK7) Degradome in Ovarian Cancer Cell Secretome
|
|---|---|
| Published in |
Molecular and Cellular Proteomics, January 2019
|
| DOI | 10.1074/mcp.ra118.001304 |
| Pubmed ID | |
| Authors |
Lakmali Munasinghage Silva, Thomas Kryza, Thomas Stoll, Christine Hoogland, Ying Dong, Carson Ryan Stephens, Marcus Lachlan Hastie, Viktor Magdolen, Oded Kleifeld, Jeffrey John Gorman, Judith Ann Clements |
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 States | 1 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 41 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 27% |
| Student > Ph. D. Student | 7 | 17% |
| Student > Master | 3 | 7% |
| Student > Bachelor | 2 | 5% |
| Other | 2 | 5% |
| Other | 8 | 20% |
| Unknown | 8 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 12 | 29% |
| Medicine and Dentistry | 5 | 12% |
| Chemistry | 4 | 10% |
| Agricultural and Biological Sciences | 3 | 7% |
| Nursing and Health Professions | 2 | 5% |
| Other | 7 | 17% |
| Unknown | 8 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 May 2019.
All research outputs
#16,728,456
of 25,385,509 outputs
Outputs from Molecular and Cellular Proteomics
#2,584
of 3,221 outputs
Outputs of similar age
#269,635
of 446,772 outputs
Outputs of similar age from Molecular and Cellular Proteomics
#45
of 48 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,221 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 17th percentile – i.e., 17% of its peers scored the same or lower than it.
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 446,772 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.