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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Usage and applications of Semantic Web techniques and technologies to support chemistry research
|
|---|---|
| Published in |
Journal of Cheminformatics, April 2014
|
| DOI | 10.1186/1758-2946-6-18 |
| Pubmed ID | |
| Authors |
Mark I Borkum, Jeremy G Frey |
| Abstract |
The drug discovery process is now highly dependent on the management, curation and integration of large amounts of potentially useful data. Semantics are necessary in order to interpret the information and derive knowledge. Advances in recent years have mitigated concerns that the lack of robust, usable tools has inhibited the adoption of methodologies based on semantics. |
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 % |
|---|---|---|
| United States | 2 | 50% |
| Germany | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 6% |
| United States | 2 | 4% |
| Netherlands | 1 | 2% |
| Brazil | 1 | 2% |
| Pakistan | 1 | 2% |
| Japan | 1 | 2% |
| United Kingdom | 1 | 2% |
| Unknown | 39 | 80% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 16% |
| Researcher | 8 | 16% |
| Student > Ph. D. Student | 8 | 16% |
| Student > Postgraduate | 7 | 14% |
| Student > Bachelor | 5 | 10% |
| Other | 12 | 24% |
| Unknown | 1 | 2% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 27% |
| Agricultural and Biological Sciences | 6 | 12% |
| Chemistry | 6 | 12% |
| Engineering | 4 | 8% |
| Physics and Astronomy | 3 | 6% |
| Other | 12 | 24% |
| Unknown | 5 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 22 October 2014.
All research outputs
#13,822,239
of 24,143,470 outputs
Outputs from Journal of Cheminformatics
#667
of 891 outputs
Outputs of similar age
#110,873
of 231,816 outputs
Outputs of similar age from Journal of Cheminformatics
#12
of 23 outputs
Altmetric has tracked 24,143,470 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 891 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one is in the 23rd percentile – i.e., 23% 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 231,816 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.