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X Demographics
Mendeley readers
Attention Score in Context
| Title |
CML: Evolution and design
|
|---|---|
| Published in |
Journal of Cheminformatics, October 2011
|
| DOI | 10.1186/1758-2946-3-44 |
| Pubmed ID | |
| Authors |
Peter Murray-Rust, Henry S Rzepa |
| Abstract |
A retrospective view of the design and evolution of Chemical Markup Language (CML) is presented by its original authors. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Germany | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Iran, Islamic Republic of | 1 | 2% |
| Bulgaria | 1 | 2% |
| Germany | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 62 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 23% |
| Researcher | 9 | 14% |
| Student > Bachelor | 7 | 11% |
| Student > Master | 6 | 9% |
| Other | 5 | 8% |
| Other | 16 | 24% |
| Unknown | 8 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 25 | 38% |
| Biochemistry, Genetics and Molecular Biology | 4 | 6% |
| Computer Science | 4 | 6% |
| Agricultural and Biological Sciences | 4 | 6% |
| Materials Science | 4 | 6% |
| Other | 13 | 20% |
| Unknown | 12 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 04 April 2022.
All research outputs
#2,941,749
of 24,588,574 outputs
Outputs from Journal of Cheminformatics
#273
of 913 outputs
Outputs of similar age
#15,171
of 140,345 outputs
Outputs of similar age from Journal of Cheminformatics
#11
of 21 outputs
Altmetric has tracked 24,588,574 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 913 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one has gotten more attention than average, scoring higher than 70% 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 140,345 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 89% of its contemporaries.
We're also able to compare this research output to 21 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 52% of its contemporaries.