The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
eNanoMapper: harnessing ontologies to enable data integration for nanomaterial risk assessment
|
|---|---|
| Published in |
Journal of Biomedical Semantics, March 2015
|
| DOI | 10.1186/s13326-015-0005-5 |
| Pubmed ID | |
| Authors |
Janna Hastings, Nina Jeliazkova, Gareth Owen, Georgia Tsiliki, Cristian R Munteanu, Christoph Steinbeck, Egon Willighagen |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 12% |
| Netherlands | 2 | 12% |
| Ireland | 1 | 6% |
| Germany | 1 | 6% |
| United Kingdom | 1 | 6% |
| Unknown | 10 | 59% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 59% |
| Scientists | 6 | 35% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 5% |
| Netherlands | 1 | 1% |
| Germany | 1 | 1% |
| Spain | 1 | 1% |
| Bulgaria | 1 | 1% |
| Unknown | 70 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 29 | 37% |
| Student > Ph. D. Student | 10 | 13% |
| Other | 7 | 9% |
| Student > Doctoral Student | 5 | 6% |
| Student > Master | 5 | 6% |
| Other | 6 | 8% |
| Unknown | 16 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 15% |
| Computer Science | 10 | 13% |
| Environmental Science | 9 | 12% |
| Chemistry | 6 | 8% |
| Engineering | 6 | 8% |
| Other | 13 | 17% |
| Unknown | 22 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 31. 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 02 July 2023.
All research outputs
#1,309,706
of 25,837,817 outputs
Outputs from Journal of Biomedical Semantics
#2
of 368 outputs
Outputs of similar age
#16,297
of 280,302 outputs
Outputs of similar age from Journal of Biomedical Semantics
#1
of 14 outputs
Altmetric has tracked 25,837,817 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 368 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 99% 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 280,302 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 93% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.