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Mendeley readers
Attention Score in Context
| Title |
Computational genes: a tool for molecular diagnosis and therapy of aberrant mutational phenotype
|
|---|---|
| Published in |
BMC Bioinformatics, September 2007
|
| DOI | 10.1186/1471-2105-8-365 |
| Pubmed ID | |
| Authors |
Israel M Martínez-Pérez, Gong Zhang, Zoya Ignatova, Karl-Heinz Zimmermann |
| Abstract |
A finite state machine manipulating information-carrying DNA strands can be used to perform autonomous molecular-scale computations at the cellular level. |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 6% |
| Unknown | 16 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 35% |
| Student > Ph. D. Student | 3 | 18% |
| Researcher | 3 | 18% |
| Student > Bachelor | 2 | 12% |
| Professor > Associate Professor | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 2 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 4 | 24% |
| Computer Science | 4 | 24% |
| Engineering | 2 | 12% |
| Chemistry | 2 | 12% |
| Psychology | 1 | 6% |
| Other | 2 | 12% |
| Unknown | 2 | 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 30 December 2017.
All research outputs
#7,454,066
of 22,788,370 outputs
Outputs from BMC Bioinformatics
#3,023
of 7,279 outputs
Outputs of similar age
#25,082
of 71,430 outputs
Outputs of similar age from BMC Bioinformatics
#23
of 52 outputs
Altmetric has tracked 22,788,370 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 7,279 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 50% 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 71,430 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
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 is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.