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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Designing mHealth for maternity services in primary health facilities in a low-income setting – lessons from a partially successful implementation
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, November 2018
|
| DOI | 10.1186/s12911-018-0704-9 |
| Pubmed ID | |
| Authors |
Solomon Shiferaw, Andualem Workneh, Robel Yirgu, Geert-Jan Dinant, Mark Spigt |
X Demographics
The data shown below were collected from the profiles of 3 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 | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 181 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 181 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 35 | 19% |
| Student > Bachelor | 19 | 10% |
| Researcher | 12 | 7% |
| Lecturer | 11 | 6% |
| Student > Ph. D. Student | 10 | 6% |
| Other | 27 | 15% |
| Unknown | 67 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 32 | 18% |
| Medicine and Dentistry | 19 | 10% |
| Computer Science | 11 | 6% |
| Engineering | 9 | 5% |
| Social Sciences | 6 | 3% |
| Other | 26 | 14% |
| Unknown | 78 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 December 2018.
All research outputs
#13,705,220
of 24,155,398 outputs
Outputs from BMC Medical Informatics and Decision Making
#908
of 2,064 outputs
Outputs of similar age
#164,981
of 348,847 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#18
of 39 outputs
Altmetric has tracked 24,155,398 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,064 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has gotten more attention than average, scoring higher than 55% 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 348,847 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 39 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 56% of its contemporaries.