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X Demographics
Mendeley readers
Attention Score in Context
| Title |
ICEKAT: an interactive online tool for calculating initial rates from continuous enzyme kinetic traces
|
|---|---|
| Published in |
BMC Bioinformatics, May 2020
|
| DOI | 10.1186/s12859-020-3513-y |
| Pubmed ID | |
| Authors |
Michael D. Olp, Kelsey S. Kalous, Brian C. Smith |
X Demographics
The data shown below were collected from the profiles of 5 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 | 20% |
| Japan | 1 | 20% |
| India | 1 | 20% |
| United Kingdom | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 60% |
| Members of the public | 1 | 20% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 59 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 19% |
| Student > Bachelor | 9 | 15% |
| Researcher | 6 | 10% |
| Student > Master | 5 | 8% |
| Professor | 4 | 7% |
| Other | 6 | 10% |
| Unknown | 18 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 22 | 37% |
| Chemistry | 7 | 12% |
| Agricultural and Biological Sciences | 4 | 7% |
| Chemical Engineering | 3 | 5% |
| Computer Science | 2 | 3% |
| Other | 4 | 7% |
| Unknown | 17 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 19 July 2023.
All research outputs
#5,811,199
of 23,715,461 outputs
Outputs from BMC Bioinformatics
#2,036
of 7,424 outputs
Outputs of similar age
#118,957
of 389,249 outputs
Outputs of similar age from BMC Bioinformatics
#37
of 108 outputs
Altmetric has tracked 23,715,461 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,424 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 72% 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 389,249 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 69% of its contemporaries.
We're also able to compare this research output to 108 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.