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X Demographics
Mendeley readers
Attention Score in Context
| Title |
How to Understand the Cell by Breaking It: Network Analysis of Gene Perturbation Screens
|
|---|---|
| Published in |
PLoS Computational Biology, February 2010
|
| DOI | 10.1371/journal.pcbi.1000655 |
| Pubmed ID | |
| Authors |
Florian Markowetz |
X Demographics
The data shown below were collected from the profile of 1 X user 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 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 249 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 11 | 4% |
| United States | 10 | 4% |
| Germany | 5 | 2% |
| India | 3 | 1% |
| Sweden | 2 | <1% |
| Belgium | 2 | <1% |
| Iran, Islamic Republic of | 2 | <1% |
| Netherlands | 1 | <1% |
| Brazil | 1 | <1% |
| Other | 8 | 3% |
| Unknown | 204 | 82% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 78 | 31% |
| Researcher | 71 | 29% |
| Student > Master | 25 | 10% |
| Professor | 17 | 7% |
| Professor > Associate Professor | 15 | 6% |
| Other | 27 | 11% |
| Unknown | 16 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 112 | 45% |
| Computer Science | 36 | 14% |
| Biochemistry, Genetics and Molecular Biology | 29 | 12% |
| Medicine and Dentistry | 15 | 6% |
| Mathematics | 12 | 5% |
| Other | 23 | 9% |
| Unknown | 22 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 24 March 2021.
All research outputs
#5,243,386
of 25,385,509 outputs
Outputs from PLoS Computational Biology
#3,999
of 8,961 outputs
Outputs of similar age
#21,842
of 102,488 outputs
Outputs of similar age from PLoS Computational Biology
#19
of 52 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,961 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has gotten more attention than average, scoring higher than 55% 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 102,488 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 52 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 63% of its contemporaries.