| Title |
RetSynth: determining all optimal and sub-optimal synthetic pathways that facilitate synthesis of target compounds in chassis organisms
|
|---|---|
| Published in |
BMC Bioinformatics, September 2019
|
| DOI | 10.1186/s12859-019-3025-9 |
| Pubmed ID | |
| Authors |
Leanne S. Whitmore, Bernard Nguyen, Ali Pinar, Anthe George, Corey M. Hudson |
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 % |
|---|---|---|
| United States | 1 | 33% |
| United Kingdom | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 24% |
| Researcher | 8 | 24% |
| Student > Bachelor | 4 | 12% |
| Student > Master | 2 | 6% |
| Other | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 8 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 9 | 27% |
| Agricultural and Biological Sciences | 3 | 9% |
| Engineering | 2 | 6% |
| Chemistry | 2 | 6% |
| Computer Science | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 12 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 23 September 2019.
All research outputs
#6,599,333
of 23,344,526 outputs
Outputs from BMC Bioinformatics
#2,530
of 7,387 outputs
Outputs of similar age
#117,278
of 341,624 outputs
Outputs of similar age from BMC Bioinformatics
#45
of 93 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 7,387 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 64% 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 341,624 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 93 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 52% of its contemporaries.