You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Computer-assisted methods for molecular structure elucidation: realizing a spectroscopist's dream
|
|---|---|
| Published in |
Journal of Cheminformatics, March 2009
|
| DOI | 10.1186/1758-2946-1-3 |
| Pubmed ID | |
| Authors |
Mikhail Elyashberg, Kirill Blinov, Sergey Molodtsov, Yegor Smurnyy, Antony J Williams, Tatiana Churanova |
| Abstract |
This article coincides with the 40 year anniversary of the first published works devoted to the creation of algorithms for computer-aided structure elucidation (CASE). The general principles on which CASE methods are based will be reviewed and the present state of the art in this field will be described using, as an example, the expert system Structure Elucidator. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 25% |
| Canada | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 2 | 2% |
| United States | 2 | 2% |
| United Kingdom | 2 | 2% |
| Brazil | 2 | 2% |
| Germany | 1 | <1% |
| Colombia | 1 | <1% |
| Australia | 1 | <1% |
| Pakistan | 1 | <1% |
| Spain | 1 | <1% |
| Other | 3 | 3% |
| Unknown | 91 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 25 | 23% |
| Student > Ph. D. Student | 23 | 21% |
| Student > Master | 18 | 17% |
| Professor > Associate Professor | 7 | 7% |
| Student > Bachelor | 7 | 7% |
| Other | 15 | 14% |
| Unknown | 12 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 55 | 51% |
| Agricultural and Biological Sciences | 13 | 12% |
| Engineering | 7 | 7% |
| Computer Science | 4 | 4% |
| Biochemistry, Genetics and Molecular Biology | 3 | 3% |
| Other | 7 | 7% |
| Unknown | 18 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 29. 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 21 October 2015.
All research outputs
#1,153,055
of 22,655,397 outputs
Outputs from Journal of Cheminformatics
#66
of 825 outputs
Outputs of similar age
#3,482
of 106,772 outputs
Outputs of similar age from Journal of Cheminformatics
#1
of 4 outputs
Altmetric has tracked 22,655,397 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 825 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done particularly well, scoring higher than 92% 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 106,772 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them