| Title |
Staff expectations for the implementation of an electronic health record system: a qualitative study using normalisation process theory
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, November 2019
|
| DOI | 10.1186/s12911-019-0952-3 |
| Pubmed ID | |
| Authors |
Carolyn McCrorie, Jonathan Benn, Owen Ashby Johnson, Arabella Scantlebury |
X Demographics
The data shown below were collected from the profiles of 15 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 | 4 | 27% |
| Canada | 1 | 7% |
| United States | 1 | 7% |
| Kenya | 1 | 7% |
| France | 1 | 7% |
| Unknown | 7 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 53% |
| Scientists | 4 | 27% |
| Practitioners (doctors, other healthcare professionals) | 3 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 167 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 167 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 13% |
| Student > Master | 21 | 13% |
| Researcher | 10 | 6% |
| Student > Bachelor | 10 | 6% |
| Student > Doctoral Student | 7 | 4% |
| Other | 18 | 11% |
| Unknown | 79 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 18 | 11% |
| Nursing and Health Professions | 18 | 11% |
| Business, Management and Accounting | 14 | 8% |
| Medicine and Dentistry | 12 | 7% |
| Social Sciences | 6 | 4% |
| Other | 19 | 11% |
| Unknown | 80 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 28 November 2022.
All research outputs
#2,619,487
of 25,345,468 outputs
Outputs from BMC Medical Informatics and Decision Making
#167
of 2,140 outputs
Outputs of similar age
#52,780
of 368,186 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#5
of 68 outputs
Altmetric has tracked 25,345,468 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,140 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 particularly well, scoring higher than 92% 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 368,186 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 68 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 94% of its contemporaries.