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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Proteomic and phosphoproteomic measurements enhance ability to predict ex vivo drug response in AML
|
---|---|
Published in |
Clinical Proteomics, July 2022
|
DOI | 10.1186/s12014-022-09367-9 |
Pubmed ID | |
Authors |
Sara J. C. Gosline, Cristina Tognon, Michael Nestor, Sunil Joshi, Rucha Modak, Alisa Damnernsawad, Camilo Posso, Jamie Moon, Joshua R. Hansen, Chelsea Hutchinson-Bunch, James C. Pino, Marina A. Gritsenko, Karl K. Weitz, Elie Traer, Jeffrey Tyner, Brian Druker, Anupriya Agarwal, Paul Piehowski, Jason E. McDermott, Karin Rodland |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 40% |
Unknown | 3 | 60% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 40% |
Scientists | 2 | 40% |
Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 15 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 2 | 13% |
Librarian | 1 | 7% |
Student > Bachelor | 1 | 7% |
Student > Ph. D. Student | 1 | 7% |
Professor | 1 | 7% |
Other | 2 | 13% |
Unknown | 7 | 47% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 2 | 13% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 7% |
Agricultural and Biological Sciences | 1 | 7% |
Computer Science | 1 | 7% |
Medicine and Dentistry | 1 | 7% |
Other | 0 | 0% |
Unknown | 9 | 60% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 12 July 2023.
All research outputs
#7,682,308
of 23,376,718 outputs
Outputs from Clinical Proteomics
#93
of 289 outputs
Outputs of similar age
#144,277
of 434,832 outputs
Outputs of similar age from Clinical Proteomics
#2
of 10 outputs
Altmetric has tracked 23,376,718 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 289 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 gotten more attention than average, scoring higher than 59% 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 434,832 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 65% 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 8 of them.