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Mendeley readers
Attention Score in Context
| Title |
The Importance of Bottlenecks in Protein Networks: Correlation with Gene Essentiality and Expression Dynamics
|
|---|---|
| Published in |
PLoS Computational Biology, April 2007
|
| DOI | 10.1371/journal.pcbi.0030059 |
| Pubmed ID | |
| Authors |
Haiyuan Yu, Philip M Kim, Emmett Sprecher, Valery Trifonov, Mark Gerstein |
Mendeley readers
The data shown below were compiled from readership statistics for 712 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 18 | 3% |
| United Kingdom | 16 | 2% |
| Spain | 9 | 1% |
| Brazil | 7 | <1% |
| Germany | 6 | <1% |
| France | 4 | <1% |
| India | 4 | <1% |
| Italy | 3 | <1% |
| Japan | 3 | <1% |
| Other | 15 | 2% |
| Unknown | 627 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 184 | 26% |
| Researcher | 147 | 21% |
| Student > Master | 81 | 11% |
| Student > Bachelor | 59 | 8% |
| Professor > Associate Professor | 42 | 6% |
| Other | 114 | 16% |
| Unknown | 85 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 302 | 42% |
| Biochemistry, Genetics and Molecular Biology | 120 | 17% |
| Computer Science | 75 | 11% |
| Medicine and Dentistry | 22 | 3% |
| Engineering | 17 | 2% |
| Other | 59 | 8% |
| Unknown | 117 | 16% |
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 28 July 2023.
All research outputs
#16,737,737
of 25,394,764 outputs
Outputs from PLoS Computational Biology
#7,220
of 8,964 outputs
Outputs of similar age
#76,574
of 87,824 outputs
Outputs of similar age from PLoS Computational Biology
#26
of 30 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,964 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 16th percentile – i.e., 16% 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 87,824 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.