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X Demographics
Mendeley readers
Attention Score in Context
| Title |
RhoTermPredict: an algorithm for predicting Rho-dependent transcription terminators based on Escherichia coli, Bacillus subtilis and Salmonella enterica databases
|
|---|---|
| Published in |
BMC Bioinformatics, March 2019
|
| DOI | 10.1186/s12859-019-2704-x |
| Pubmed ID | |
| Authors |
Marco Di Salvo, Simone Puccio, Clelia Peano, Stephan Lacour, Pietro Alifano |
X Demographics
The data shown below were collected from the profiles of 2 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 Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 77 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 26% |
| Student > Master | 14 | 18% |
| Researcher | 9 | 12% |
| Student > Bachelor | 5 | 6% |
| Student > Doctoral Student | 5 | 6% |
| Other | 4 | 5% |
| Unknown | 20 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 31 | 40% |
| Agricultural and Biological Sciences | 13 | 17% |
| Immunology and Microbiology | 5 | 6% |
| Chemical Engineering | 1 | 1% |
| Veterinary Science and Veterinary Medicine | 1 | 1% |
| Other | 7 | 9% |
| Unknown | 19 | 25% |
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 31 December 2023.
All research outputs
#7,234,530
of 25,080,471 outputs
Outputs from BMC Bioinformatics
#2,628
of 7,644 outputs
Outputs of similar age
#128,651
of 358,654 outputs
Outputs of similar age from BMC Bioinformatics
#56
of 165 outputs
Altmetric has tracked 25,080,471 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 7,644 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 358,654 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 63% of its contemporaries.
We're also able to compare this research output to 165 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 66% of its contemporaries.