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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Escher-Trace: a web application for pathway-based visualization of stable isotope tracing data
|
|---|---|
| Published in |
BMC Bioinformatics, July 2020
|
| DOI | 10.1186/s12859-020-03632-0 |
| Pubmed ID | |
| Authors |
Avi Kumar, Jack Mitchener, Zachary A. King, Christian M. Metallo |
X Demographics
The data shown below were collected from the profiles of 9 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 | 2 | 22% |
| India | 2 | 22% |
| Korea, Republic of | 1 | 11% |
| Germany | 1 | 11% |
| United Kingdom | 1 | 11% |
| Unknown | 2 | 22% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 56% |
| Members of the public | 4 | 44% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 25% |
| Student > Ph. D. Student | 6 | 17% |
| Professor | 2 | 6% |
| Professor > Associate Professor | 2 | 6% |
| Student > Master | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 13 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 19% |
| Agricultural and Biological Sciences | 4 | 11% |
| Chemical Engineering | 2 | 6% |
| Social Sciences | 2 | 6% |
| Chemistry | 2 | 6% |
| Other | 3 | 8% |
| Unknown | 16 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 16 July 2020.
All research outputs
#7,169,886
of 25,163,238 outputs
Outputs from BMC Bioinformatics
#2,600
of 7,657 outputs
Outputs of similar age
#143,338
of 403,669 outputs
Outputs of similar age from BMC Bioinformatics
#58
of 117 outputs
Altmetric has tracked 25,163,238 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 7,657 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 65% 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 403,669 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 64% of its contemporaries.
We're also able to compare this research output to 117 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 51% of its contemporaries.