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X Demographics
Mendeley readers
Attention Score in Context
| Title |
FusionPro, a Versatile Proteogenomic Tool for Identification of Novel Fusion Transcripts and Their Potential Translation Products in Cancer Cells*[S]
|
|---|---|
| Published in |
Molecular and Cellular Proteomics, June 2019
|
| DOI | 10.1074/mcp.ra119.001456 |
| Pubmed ID | |
| Authors |
Chae-Yeon Kim, Keun Na, Saeram Park, Seul-Ki Jeong, Jin-Young Cho, Heon Shin, Min Jung Lee, Gyoonhee Han, Young-Ki Paik |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 3 | 33% |
| United States | 2 | 22% |
| Unknown | 4 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 78% |
| Scientists | 2 | 22% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 39% |
| Student > Ph. D. Student | 3 | 17% |
| Student > Bachelor | 1 | 6% |
| Professor > Associate Professor | 1 | 6% |
| Student > Postgraduate | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 5 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 44% |
| Agricultural and Biological Sciences | 3 | 17% |
| Computer Science | 1 | 6% |
| Medicine and Dentistry | 1 | 6% |
| Unknown | 5 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 2021.
All research outputs
#3,254,968
of 25,420,980 outputs
Outputs from Molecular and Cellular Proteomics
#570
of 3,223 outputs
Outputs of similar age
#65,543
of 367,303 outputs
Outputs of similar age from Molecular and Cellular Proteomics
#25
of 65 outputs
Altmetric has tracked 25,420,980 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% 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 well, scoring higher than 82% 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 367,303 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 82% of its contemporaries.
We're also able to compare this research output to 65 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 61% of its contemporaries.