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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Using phosphoproteomics data to understand cellular signaling: a comprehensive guide to bioinformatics resources
|
|---|---|
| Published in |
Clinical Proteomics, July 2020
|
| DOI | 10.1186/s12014-020-09290-x |
| Pubmed ID | |
| Authors |
Sara R. Savage, Bing Zhang |
X Demographics
The data shown below were collected from the profiles of 4 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 | 25% |
| Mexico | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
| Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 164 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 164 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 54 | 33% |
| Researcher | 19 | 12% |
| Student > Bachelor | 18 | 11% |
| Student > Master | 17 | 10% |
| Student > Doctoral Student | 8 | 5% |
| Other | 15 | 9% |
| Unknown | 33 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 58 | 35% |
| Agricultural and Biological Sciences | 22 | 13% |
| Chemistry | 10 | 6% |
| Immunology and Microbiology | 8 | 5% |
| Computer Science | 6 | 4% |
| Other | 22 | 13% |
| Unknown | 38 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 75. 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 04 April 2022.
All research outputs
#501,667
of 23,479,361 outputs
Outputs from Clinical Proteomics
#3
of 292 outputs
Outputs of similar age
#15,973
of 398,599 outputs
Outputs of similar age from Clinical Proteomics
#1
of 10 outputs
Altmetric has tracked 23,479,361 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 292 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 99% 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 398,599 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them