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 |
Uncertainty principle of genetic information in a living cell
|
|---|---|
| Published in |
Theoretical Biology and Medical Modelling, September 2005
|
| DOI | 10.1186/1742-4682-2-40 |
| Pubmed ID | |
| Authors |
Pierluigi Strippoli, Silvia Canaider, Francesco Noferini, Pietro D'Addabbo, Lorenza Vitale, Federica Facchin, Luca Lenzi, Raffaella Casadei, Paolo Carinci, Maria Zannotti, Flavia Frabetti |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 4% |
| Unknown | 25 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 42% |
| Student > Ph. D. Student | 3 | 12% |
| Professor > Associate Professor | 3 | 12% |
| Student > Bachelor | 2 | 8% |
| Student > Master | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 3 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 13 | 50% |
| Immunology and Microbiology | 3 | 12% |
| Medicine and Dentistry | 2 | 8% |
| Chemical Engineering | 1 | 4% |
| Computer Science | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 3 | 12% |
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 27 May 2019.
All research outputs
#12,920,767
of 23,292,144 outputs
Outputs from Theoretical Biology and Medical Modelling
#127
of 288 outputs
Outputs of similar age
#50,632
of 59,168 outputs
Outputs of similar age from Theoretical Biology and Medical Modelling
#3
of 4 outputs
Altmetric has tracked 23,292,144 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 288 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. 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 59,168 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.