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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Applying real-time Delphi methods: development of a pain management survey in emergency nursing
|
|---|---|
| Published in |
BMC Nursing, August 2021
|
| DOI | 10.1186/s12912-021-00661-9 |
| Pubmed ID | |
| Authors |
Wayne Varndell, Margaret Fry, Doug Elliott |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 12 | 92% |
| Unknown | 1 | 8% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 62% |
| Scientists | 4 | 31% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 82 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 13% |
| Student > Master | 8 | 10% |
| Student > Doctoral Student | 8 | 10% |
| Researcher | 5 | 6% |
| Student > Bachelor | 4 | 5% |
| Other | 13 | 16% |
| Unknown | 33 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 21 | 26% |
| Social Sciences | 7 | 9% |
| Engineering | 4 | 5% |
| Medicine and Dentistry | 3 | 4% |
| Computer Science | 3 | 4% |
| Other | 10 | 12% |
| Unknown | 34 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 2021.
All research outputs
#4,126,098
of 23,310,485 outputs
Outputs from BMC Nursing
#115
of 776 outputs
Outputs of similar age
#91,021
of 432,543 outputs
Outputs of similar age from BMC Nursing
#4
of 24 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 776 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done well, scoring higher than 85% 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 432,543 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 78% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.