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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Optimizing data visualization for reproductive, maternal, newborn, child health, and nutrition (RMNCH&N) policymaking: data visualization preferences and interpretation capacity among decision-makers in Tanzania
|
|---|---|
| Published in |
Global Health Research and Policy, February 2019
|
| DOI | 10.1186/s41256-019-0095-1 |
| Pubmed ID | |
| Authors |
Tricia Aung, Debora Niyeha, Shagihilu Shagihilu, Rose Mpembeni, Joyceline Kaganda, Ashley Sheffel, Rebecca Heidkamp |
X Demographics
The data shown below were collected from the profiles of 6 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 States | 3 | 50% |
| Tanzania, United Republic of | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 50% |
| Members of the public | 2 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 81 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 14% |
| Student > Bachelor | 8 | 10% |
| Student > Doctoral Student | 6 | 7% |
| Student > Master | 5 | 6% |
| Lecturer | 4 | 5% |
| Other | 7 | 9% |
| Unknown | 40 | 49% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 8 | 10% |
| Nursing and Health Professions | 8 | 10% |
| Medicine and Dentistry | 5 | 6% |
| Computer Science | 3 | 4% |
| Decision Sciences | 3 | 4% |
| Other | 15 | 19% |
| Unknown | 39 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 02 May 2022.
All research outputs
#6,417,253
of 24,359,979 outputs
Outputs from Global Health Research and Policy
#92
of 248 outputs
Outputs of similar age
#141,901
of 486,201 outputs
Outputs of similar age from Global Health Research and Policy
#4
of 8 outputs
Altmetric has tracked 24,359,979 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 248 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.6. This one has gotten more attention than average, scoring higher than 62% 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 486,201 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 70% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.