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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Development of a novel mobile application to detect urine protein for nephrotic syndrome disease monitoring
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, May 2019
|
| DOI | 10.1186/s12911-019-0822-z |
| Pubmed ID | |
| Authors |
Chia-shi Wang, Richard Boyd, Russell Mitchell, W. Darryl Wright, Courtney McCracken, Cam Escoffery, Rachel E. Patzer, Larry A. Greenbaum |
X Demographics
The data shown below were collected from the profiles of 15 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 | 4 | 27% |
| Georgia | 1 | 7% |
| Iceland | 1 | 7% |
| Unknown | 9 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 87% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
| Scientists | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 62 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 8 | 13% |
| Student > Bachelor | 8 | 13% |
| Student > Master | 7 | 11% |
| Student > Doctoral Student | 4 | 6% |
| Librarian | 4 | 6% |
| Other | 15 | 24% |
| Unknown | 16 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 16% |
| Nursing and Health Professions | 9 | 15% |
| Social Sciences | 4 | 6% |
| Psychology | 4 | 6% |
| Computer Science | 3 | 5% |
| Other | 11 | 18% |
| Unknown | 21 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 05 December 2019.
All research outputs
#2,910,492
of 24,900,093 outputs
Outputs from BMC Medical Informatics and Decision Making
#204
of 2,116 outputs
Outputs of similar age
#58,496
of 355,991 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#7
of 33 outputs
Altmetric has tracked 24,900,093 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,116 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done particularly well, scoring higher than 90% 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 355,991 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 83% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.