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Mendeley readers
Attention Score in Context
| Title |
ASMPKS: an analysis system for modular polyketide synthases
|
|---|---|
| Published in |
BMC Bioinformatics, September 2007
|
| DOI | 10.1186/1471-2105-8-327 |
| Pubmed ID | |
| Authors |
Hongseok Tae, Eun-Bae Kong, Kiejung Park |
| Abstract |
Polyketides are secondary metabolites of microorganisms with diverse biological activities, including pharmacological functions such as antibiotic, antitumor and agrochemical properties. Polyketides are synthesized by serialized reactions of a set of enzymes called polyketide synthase(PKS)s, which coordinate the elongation of carbon skeletons by the stepwise condensation of short carbon precursors. Due to their importance as drugs, the volume of data on polyketides is rapidly increasing and creating a need for computational analysis methods for efficient polyketide research. Moreover, the increasing use of genetic engineering to research new kinds of polyketides requires genome wide analysis. |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 3% |
| Malaysia | 1 | 1% |
| French Polynesia | 1 | 1% |
| India | 1 | 1% |
| Denmark | 1 | 1% |
| Unknown | 63 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 22% |
| Researcher | 12 | 17% |
| Student > Doctoral Student | 9 | 13% |
| Student > Master | 9 | 13% |
| Professor > Associate Professor | 5 | 7% |
| Other | 11 | 16% |
| Unknown | 8 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 33 | 48% |
| Biochemistry, Genetics and Molecular Biology | 8 | 12% |
| Chemistry | 6 | 9% |
| Engineering | 3 | 4% |
| Medicine and Dentistry | 3 | 4% |
| Other | 6 | 9% |
| Unknown | 10 | 14% |
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 31 October 2018.
All research outputs
#4,144,328
of 22,660,862 outputs
Outputs from BMC Bioinformatics
#1,606
of 7,241 outputs
Outputs of similar age
#11,785
of 69,911 outputs
Outputs of similar age from BMC Bioinformatics
#9
of 44 outputs
Altmetric has tracked 22,660,862 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,241 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 done well, scoring higher than 77% 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 69,911 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 81% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.