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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Data governance in predictive toxicology: A review
|
|---|---|
| Published in |
Journal of Cheminformatics, July 2011
|
| DOI | 10.1186/1758-2946-3-24 |
| Pubmed ID | |
| Authors |
Xin Fu, Anna Wojak, Daniel Neagu, Mick Ridley, Kim Travis |
X Demographics
The data shown below were collected from the profiles of 3 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 | 33% |
| United States | 1 | 33% |
| Japan | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 152 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | <1% |
| Bulgaria | 1 | <1% |
| Sweden | 1 | <1% |
| United Kingdom | 1 | <1% |
| Russia | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 146 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 28 | 18% |
| Student > Master | 27 | 18% |
| Student > Ph. D. Student | 19 | 13% |
| Student > Bachelor | 16 | 11% |
| Student > Doctoral Student | 8 | 5% |
| Other | 28 | 18% |
| Unknown | 26 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 44 | 29% |
| Business, Management and Accounting | 18 | 12% |
| Agricultural and Biological Sciences | 14 | 9% |
| Chemistry | 9 | 6% |
| Economics, Econometrics and Finance | 7 | 5% |
| Other | 30 | 20% |
| Unknown | 30 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 03 October 2011.
All research outputs
#3,456,746
of 24,143,470 outputs
Outputs from Journal of Cheminformatics
#340
of 891 outputs
Outputs of similar age
#16,910
of 119,676 outputs
Outputs of similar age from Journal of Cheminformatics
#4
of 11 outputs
Altmetric has tracked 24,143,470 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 has gotten more attention than average, scoring higher than 61% 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 119,676 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 85% of its contemporaries.
We're also able to compare this research output to 11 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 72% of its contemporaries.