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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Probabilistic change detection and visualization methods for the assessment of temporal stability in biomedical data quality
|
|---|---|
| Published in |
Data Mining and Knowledge Discovery, September 2014
|
| DOI | 10.1007/s10618-014-0378-6 |
| Authors |
Carlos Sáez, Pedro Pereira Rodrigues, João Gama, Montserrat Robles, Juan M. García-Gómez |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 50% |
| Portugal | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Australia | 1 | 2% |
| Unknown | 50 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 25% |
| Student > Ph. D. Student | 11 | 21% |
| Student > Master | 7 | 13% |
| Professor > Associate Professor | 3 | 6% |
| Student > Doctoral Student | 2 | 4% |
| Other | 7 | 13% |
| Unknown | 9 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 23 | 44% |
| Medicine and Dentistry | 3 | 6% |
| Engineering | 3 | 6% |
| Social Sciences | 2 | 4% |
| Nursing and Health Professions | 1 | 2% |
| Other | 5 | 10% |
| Unknown | 15 | 29% |
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 26 May 2015.
All research outputs
#14,723,813
of 25,837,817 outputs
Outputs from Data Mining and Knowledge Discovery
#284
of 654 outputs
Outputs of similar age
#117,544
of 251,058 outputs
Outputs of similar age from Data Mining and Knowledge Discovery
#5
of 8 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 654 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 55% 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 251,058 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 52% 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 3 of them.