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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Moving translational mass spectrometry imaging towards transparent and reproducible data analyses: a case study of an urothelial cancer cohort analyzed in the Galaxy framework
|
|---|---|
| Published in |
Clinical Proteomics, April 2022
|
| DOI | 10.1186/s12014-022-09347-z |
| Pubmed ID | |
| Authors |
Melanie Christine Föll, Veronika Volkmann, Kathrin Enderle-Ammour, Sylvia Timme, Konrad Wilhelm, Dan Guo, Olga Vitek, Peter Bronsert, Oliver Schilling |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 33% |
| United States | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 33% |
| Scientists | 1 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 18% |
| Student > Master | 2 | 12% |
| Unspecified | 1 | 6% |
| Student > Bachelor | 1 | 6% |
| Librarian | 1 | 6% |
| Other | 2 | 12% |
| Unknown | 7 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 18% |
| Unspecified | 1 | 6% |
| Computer Science | 1 | 6% |
| Energy | 1 | 6% |
| Social Sciences | 1 | 6% |
| Other | 3 | 18% |
| Unknown | 7 | 41% |
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 21 April 2022.
All research outputs
#14,432,192
of 23,571,271 outputs
Outputs from Clinical Proteomics
#137
of 293 outputs
Outputs of similar age
#206,546
of 442,735 outputs
Outputs of similar age from Clinical Proteomics
#3
of 8 outputs
Altmetric has tracked 23,571,271 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 293 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 48th percentile – i.e., 48% 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 442,735 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.