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X Demographics
Mendeley readers
Attention Score in Context
| Title |
“Assessment of the social influence and facilitating conditions that support nurses’ adoption of hospital electronic information management systems (HEIMS) in Ghana using the unified theory of acceptance and use of technology (UTAUT) model”
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, November 2019
|
| DOI | 10.1186/s12911-019-0956-z |
| Pubmed ID | |
| Authors |
Lu Lin Zhou, Joseph Owusu-Marfo, Henry Asante Antwi, Maxwell Opuni Antwi, Arielle Doris Tetgoum Kachie, Sabina Ampon-Wireko |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 319 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 319 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 46 | 14% |
| Student > Ph. D. Student | 26 | 8% |
| Student > Bachelor | 26 | 8% |
| Lecturer | 23 | 7% |
| Other | 15 | 5% |
| Other | 53 | 17% |
| Unknown | 130 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 45 | 14% |
| Nursing and Health Professions | 33 | 10% |
| Computer Science | 23 | 7% |
| Social Sciences | 21 | 7% |
| Medicine and Dentistry | 13 | 4% |
| Other | 49 | 15% |
| Unknown | 135 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 23 November 2019.
All research outputs
#13,973,916
of 23,177,498 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,061
of 2,016 outputs
Outputs of similar age
#231,307
of 457,712 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#33
of 71 outputs
Altmetric has tracked 23,177,498 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,016 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
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 457,712 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 71 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 53% of its contemporaries.