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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A disease progression model estimating the benefit of tolvaptan on time to end-stage renal disease for patients with rapidly progressing autosomal dominant polycystic kidney disease
|
|---|---|
| Published in |
BMC Nephrology, October 2022
|
| DOI | 10.1186/s12882-022-02956-8 |
| Pubmed ID | |
| Authors |
Gregory Mader, Deirdre Mladsi, Myrlene Sanon, Molly Purser, Christine L. Barnett, Dorothee Oberdhan, Terry Watnick, Stephen Seliger |
X Demographics
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 40% |
| France | 1 | 20% |
| India | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 25% |
| Student > Master | 2 | 25% |
| Student > Doctoral Student | 1 | 13% |
| Professor > Associate Professor | 1 | 13% |
| Unknown | 2 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 38% |
| Philosophy | 1 | 13% |
| Immunology and Microbiology | 1 | 13% |
| Nursing and Health Professions | 1 | 13% |
| Unknown | 2 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 24 October 2022.
All research outputs
#7,653,879
of 23,575,346 outputs
Outputs from BMC Nephrology
#869
of 2,540 outputs
Outputs of similar age
#143,686
of 445,150 outputs
Outputs of similar age from BMC Nephrology
#16
of 49 outputs
Altmetric has tracked 23,575,346 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 2,540 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 65% 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 445,150 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 67% of its contemporaries.
We're also able to compare this research output to 49 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 67% of its contemporaries.