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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Transcriptomic and phylogenetic analysis of a bacterial cell cycle reveals strong associations between gene co-expression and evolution
|
|---|---|
| Published in |
BMC Genomics, July 2013
|
| DOI | 10.1186/1471-2164-14-450 |
| Pubmed ID | |
| Authors |
Gang Fang, Karla D Passalacqua, Jason Hocking, Paula Montero Llopis, Mark Gerstein, Nicholas H Bergman, Christine Jacobs-Wagner |
| Abstract |
The genetic network involved in the bacterial cell cycle is poorly understood even though it underpins the remarkable ability of bacteria to proliferate. How such network evolves is even less clear. The major aims of this work were to identify and examine the genes and pathways that are differentially expressed during the Caulobacter crescentus cell cycle, and to analyze the evolutionary features of the cell cycle network. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 2 | 50% |
| France | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 75% |
| Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| India | 1 | 1% |
| Netherlands | 1 | 1% |
| Taiwan | 1 | 1% |
| United Kingdom | 1 | 1% |
| Unknown | 94 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 23% |
| Researcher | 22 | 22% |
| Student > Master | 9 | 9% |
| Student > Bachelor | 7 | 7% |
| Student > Doctoral Student | 6 | 6% |
| Other | 17 | 17% |
| Unknown | 16 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 41 | 41% |
| Biochemistry, Genetics and Molecular Biology | 24 | 24% |
| Environmental Science | 6 | 6% |
| Neuroscience | 3 | 3% |
| Immunology and Microbiology | 3 | 3% |
| Other | 7 | 7% |
| Unknown | 16 | 16% |
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 19 April 2017.
All research outputs
#13,505,102
of 23,299,593 outputs
Outputs from BMC Genomics
#4,827
of 10,741 outputs
Outputs of similar age
#102,247
of 195,775 outputs
Outputs of similar age from BMC Genomics
#50
of 124 outputs
Altmetric has tracked 23,299,593 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,741 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 53% 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 195,775 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 124 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 57% of its contemporaries.