The data shown below were collected from the profiles of 120 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Predicting cellular responses to complex perturbations in high‐throughput screens
|
---|---|
Published in |
Molecular Systems Biology, May 2023
|
DOI | 10.15252/msb.202211517 |
Pubmed ID | |
Authors |
Mohammad Lotfollahi, Anna Klimovskaia Susmelj, Carlo De Donno, Leon Hetzel, Yuge Ji, Ignacio L Ibarra, Sanjay R Srivatsan, Mohsen Naghipourfar, Riza M Daza, Beth Martin, Jay Shendure, Jose L McFaline‐Figueroa, Pierre Boyeau, F Alexander Wolf, Nafissa Yakubova, Stephan Günnemann, Cole Trapnell, David Lopez‐Paz, Fabian J Theis |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 7 | 6% |
Germany | 6 | 5% |
China | 2 | 2% |
Italy | 1 | <1% |
Switzerland | 1 | <1% |
Argentina | 1 | <1% |
Latvia | 1 | <1% |
Canada | 1 | <1% |
South Africa | 1 | <1% |
Other | 2 | 2% |
Unknown | 97 | 81% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 60 | 50% |
Scientists | 53 | 44% |
Practitioners (doctors, other healthcare professionals) | 4 | 3% |
Science communicators (journalists, bloggers, editors) | 3 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 113 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 20 | 18% |
Researcher | 20 | 18% |
Student > Bachelor | 5 | 4% |
Student > Master | 4 | 4% |
Other | 3 | 3% |
Other | 14 | 12% |
Unknown | 47 | 42% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 19 | 17% |
Agricultural and Biological Sciences | 12 | 11% |
Computer Science | 6 | 5% |
Engineering | 5 | 4% |
Medicine and Dentistry | 4 | 4% |
Other | 15 | 13% |
Unknown | 52 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 79. 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 22 August 2024.
All research outputs
#579,600
of 26,567,854 outputs
Outputs from Molecular Systems Biology
#61
of 1,184 outputs
Outputs of similar age
#12,745
of 413,629 outputs
Outputs of similar age from Molecular Systems Biology
#3
of 13 outputs
Altmetric has tracked 26,567,854 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 1,184 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.2. This one has done particularly well, scoring higher than 94% 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 413,629 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 96% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.