You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Strengthening district-based health reporting through the district health management information software system: the Ugandan experience
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, May 2014
|
| DOI | 10.1186/1472-6947-14-40 |
| Pubmed ID | |
| Authors |
Vincent Micheal Kiberu, Joseph KB Matovu, Fredrick Makumbi, Carol Kyozira, Eddie Mukooyo, Rhoda K Wanyenze |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 498 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Tanzania, United Republic of | 2 | <1% |
| France | 2 | <1% |
| Malawi | 1 | <1% |
| Ghana | 1 | <1% |
| Kenya | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 490 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 165 | 33% |
| Researcher | 58 | 12% |
| Student > Ph. D. Student | 41 | 8% |
| Student > Postgraduate | 35 | 7% |
| Student > Bachelor | 21 | 4% |
| Other | 64 | 13% |
| Unknown | 114 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 100 | 20% |
| Nursing and Health Professions | 80 | 16% |
| Computer Science | 59 | 12% |
| Social Sciences | 41 | 8% |
| Agricultural and Biological Sciences | 16 | 3% |
| Other | 76 | 15% |
| Unknown | 126 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 31 January 2023.
All research outputs
#3,637,533
of 25,455,127 outputs
Outputs from BMC Medical Informatics and Decision Making
#290
of 2,142 outputs
Outputs of similar age
#34,931
of 241,761 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#4
of 32 outputs
Altmetric has tracked 25,455,127 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,142 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 86% 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 241,761 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 32 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 90% of its contemporaries.