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X Demographics
Mendeley readers
Attention Score in Context
Title |
Efficient Parameter Estimation Enables the Prediction of Drug Response Using a Mechanistic Pan-Cancer Pathway Model
|
---|---|
Published in |
Cell Systems, November 2018
|
DOI | 10.1016/j.cels.2018.10.013 |
Pubmed ID | |
Authors |
Fabian Fröhlich, Thomas Kessler, Daniel Weindl, Alexey Shadrin, Leonard Schmiester, Hendrik Hache, Artur Muradyan, Moritz Schütte, Ji-Hyun Lim, Matthias Heinig, Fabian J. Theis, Hans Lehrach, Christoph Wierling, Bodo Lange, Jan Hasenauer |
X Demographics
The data shown below were collected from the profiles of 42 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 | 9 | 21% |
Germany | 8 | 19% |
United Kingdom | 3 | 7% |
Australia | 2 | 5% |
Spain | 1 | 2% |
Portugal | 1 | 2% |
Belgium | 1 | 2% |
Austria | 1 | 2% |
Switzerland | 1 | 2% |
Other | 3 | 7% |
Unknown | 12 | 29% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 23 | 55% |
Scientists | 17 | 40% |
Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 169 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 169 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 39 | 23% |
Researcher | 33 | 20% |
Student > Master | 18 | 11% |
Student > Bachelor | 12 | 7% |
Professor | 10 | 6% |
Other | 23 | 14% |
Unknown | 34 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 51 | 30% |
Agricultural and Biological Sciences | 14 | 8% |
Computer Science | 11 | 7% |
Physics and Astronomy | 7 | 4% |
Engineering | 7 | 4% |
Other | 35 | 21% |
Unknown | 44 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 33. 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 09 May 2024.
All research outputs
#1,238,836
of 25,874,560 outputs
Outputs from Cell Systems
#280
of 997 outputs
Outputs of similar age
#27,518
of 448,979 outputs
Outputs of similar age from Cell Systems
#7
of 26 outputs
Altmetric has tracked 25,874,560 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 997 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 37.0. This one has gotten more attention than average, scoring higher than 71% 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 448,979 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 93% of its contemporaries.
We're also able to compare this research output to 26 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 73% of its contemporaries.