The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Mobile Phone App for the Prevention of Type 2 Diabetes in Malaysian Women With Gestational Diabetes Mellitus: Protocol for a Feasibility Randomized Controlled Trial
|
|---|---|
| Published in |
JMIR Research Protocols, September 2022
|
| DOI | 10.2196/37288 |
| Pubmed ID | |
| Authors |
Madeleine Benton, Iklil Iman, Kimberley Goldsmith, Angus Forbes, Siew Mooi Ching, Iliatha Papachristou Nadal, Nicola Guess, Helen R Murphy, Barakatun-Nisak Mohd Yusof, Anisah Baharom, Nur Hafizah Mahamad Sobri, Nurul Iftida Basri, Mazatulfazura Sf Salim, Irmi Zarina Ismail, Faezah Hassan, Khalida Ismail, Boon How Chew |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 12% |
| Researcher | 5 | 10% |
| Student > Bachelor | 4 | 8% |
| Student > Doctoral Student | 3 | 6% |
| Student > Ph. D. Student | 3 | 6% |
| Other | 7 | 14% |
| Unknown | 21 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 8 | 16% |
| Medicine and Dentistry | 6 | 12% |
| Computer Science | 3 | 6% |
| Unspecified | 2 | 4% |
| Mathematics | 1 | 2% |
| Other | 4 | 8% |
| Unknown | 25 | 51% |
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 10 September 2022.
All research outputs
#14,304,167
of 24,416,081 outputs
Outputs from JMIR Research Protocols
#1,267
of 3,394 outputs
Outputs of similar age
#177,005
of 422,176 outputs
Outputs of similar age from JMIR Research Protocols
#43
of 144 outputs
Altmetric has tracked 24,416,081 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,394 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 61% 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 422,176 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 57% of its contemporaries.
We're also able to compare this research output to 144 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 70% of its contemporaries.