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Mendeley readers
Attention Score in Context
| Title |
Getting Started in Biological Pathway Construction and Analysis
|
|---|---|
| Published in |
PLoS Computational Biology, February 2008
|
| DOI | 10.1371/journal.pcbi.0040016 |
| Pubmed ID | |
| Authors |
Ganesh A Viswanathan, Jeremy Seto, Sonali Patil, German Nudelman, Stuart C Sealfon |
Mendeley readers
The data shown below were compiled from readership statistics for 407 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 19 | 5% |
| United Kingdom | 11 | 3% |
| Brazil | 3 | <1% |
| Belgium | 3 | <1% |
| India | 3 | <1% |
| Italy | 2 | <1% |
| France | 2 | <1% |
| Denmark | 2 | <1% |
| Germany | 2 | <1% |
| Other | 21 | 5% |
| Unknown | 339 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 115 | 28% |
| Student > Ph. D. Student | 109 | 27% |
| Student > Master | 35 | 9% |
| Student > Bachelor | 23 | 6% |
| Professor > Associate Professor | 21 | 5% |
| Other | 78 | 19% |
| Unknown | 26 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 185 | 45% |
| Biochemistry, Genetics and Molecular Biology | 55 | 14% |
| Computer Science | 54 | 13% |
| Medicine and Dentistry | 23 | 6% |
| Engineering | 18 | 4% |
| Other | 40 | 10% |
| Unknown | 32 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 March 2020.
All research outputs
#4,334,332
of 26,017,215 outputs
Outputs from PLoS Computational Biology
#3,465
of 9,035 outputs
Outputs of similar age
#15,336
of 97,883 outputs
Outputs of similar age from PLoS Computational Biology
#16
of 40 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,035 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has gotten more attention than average, scoring higher than 61% 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 97,883 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 84% of its contemporaries.
We're also able to compare this research output to 40 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 60% of its contemporaries.