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Mendeley readers
Attention Score in Context
| Title |
A rule-based algorithm for automatic bond type perception
|
|---|---|
| Published in |
Journal of Cheminformatics, October 2012
|
| DOI | 10.1186/1758-2946-4-26 |
| Pubmed ID | |
| Authors |
Qian Zhang, Wei Zhang, Youyong Li, Junmei Wang, Liling Zhang, Tingjun Hou |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 3% |
| Australia | 1 | 3% |
| Canada | 1 | 3% |
| Unknown | 28 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 32% |
| Researcher | 8 | 26% |
| Student > Bachelor | 3 | 10% |
| Student > Master | 3 | 10% |
| Other | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 3 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 13 | 42% |
| Computer Science | 4 | 13% |
| Agricultural and Biological Sciences | 3 | 10% |
| Biochemistry, Genetics and Molecular Biology | 2 | 6% |
| Physics and Astronomy | 2 | 6% |
| Other | 3 | 10% |
| Unknown | 4 | 13% |
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 15 December 2020.
All research outputs
#5,885,038
of 23,269,984 outputs
Outputs from Journal of Cheminformatics
#497
of 861 outputs
Outputs of similar age
#43,698
of 185,697 outputs
Outputs of similar age from Journal of Cheminformatics
#10
of 15 outputs
Altmetric has tracked 23,269,984 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 861 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one is in the 41st percentile – i.e., 41% 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 185,697 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 76% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.