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Mendeley readers
Attention Score in Context
| Title |
Machine Learning Estimates of Natural Product Conformational Energies
|
|---|---|
| Published in |
PLoS Computational Biology, January 2014
|
| DOI | 10.1371/journal.pcbi.1003400 |
| Pubmed ID | |
| Authors |
Matthias Rupp, Matthias R. Bauer, Rainer Wilcken, Andreas Lange, Michael Reutlinger, Frank M. Boeckler, Gisbert Schneider |
Mendeley readers
The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 4% |
| Netherlands | 1 | 1% |
| Germany | 1 | 1% |
| China | 1 | 1% |
| United Kingdom | 1 | 1% |
| Unknown | 71 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 28% |
| Researcher | 16 | 21% |
| Student > Master | 9 | 12% |
| Professor | 6 | 8% |
| Student > Bachelor | 5 | 6% |
| Other | 13 | 17% |
| Unknown | 7 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 19 | 24% |
| Computer Science | 9 | 12% |
| Materials Science | 8 | 10% |
| Physics and Astronomy | 8 | 10% |
| Agricultural and Biological Sciences | 4 | 5% |
| Other | 18 | 23% |
| Unknown | 12 | 15% |
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 05 September 2022.
All research outputs
#6,604,748
of 25,394,764 outputs
Outputs from PLoS Computational Biology
#4,549
of 8,964 outputs
Outputs of similar age
#71,063
of 320,066 outputs
Outputs of similar age from PLoS Computational Biology
#56
of 127 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 8,964 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 320,066 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 77% of its contemporaries.
We're also able to compare this research output to 127 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 55% of its contemporaries.