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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Why and how to engage expert stakeholders in ontology development: insights from social and behavioural sciences
|
|---|---|
| Published in |
Journal of Biomedical Semantics, March 2021
|
| DOI | 10.1186/s13326-021-00240-6 |
| Pubmed ID | |
| Authors |
Emma Norris, Janna Hastings, Marta M. Marques, Ailbhe N. Finnerty Mutlu, Silje Zink, Susan Michie |
X Demographics
The data shown below were collected from the profiles of 23 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 Kingdom | 11 | 48% |
| Ireland | 2 | 9% |
| Norway | 1 | 4% |
| Spain | 1 | 4% |
| Switzerland | 1 | 4% |
| Unknown | 7 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 57% |
| Scientists | 7 | 30% |
| Practitioners (doctors, other healthcare professionals) | 2 | 9% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 46 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 22% |
| Student > Ph. D. Student | 7 | 15% |
| Student > Master | 4 | 9% |
| Student > Doctoral Student | 3 | 7% |
| Professor | 3 | 7% |
| Other | 5 | 11% |
| Unknown | 14 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 6 | 13% |
| Computer Science | 6 | 13% |
| Agricultural and Biological Sciences | 4 | 9% |
| Business, Management and Accounting | 3 | 7% |
| Medicine and Dentistry | 2 | 4% |
| Other | 7 | 15% |
| Unknown | 18 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 16 September 2021.
All research outputs
#2,143,024
of 24,290,096 outputs
Outputs from Journal of Biomedical Semantics
#25
of 363 outputs
Outputs of similar age
#56,210
of 428,541 outputs
Outputs of similar age from Journal of Biomedical Semantics
#2
of 7 outputs
Altmetric has tracked 24,290,096 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 363 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 93% 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 428,541 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 86% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.