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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Brain MR image denoising for Rician noise using pre-smooth non-local means filter
|
|---|---|
| Published in |
BioMedical Engineering OnLine, January 2015
|
| DOI | 10.1186/1475-925x-14-2 |
| Pubmed ID | |
| Authors |
Jian Yang, Jingfan Fan, Danni Ai, Shoujun Zhou, Songyuan Tang, Yongtian Wang |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| France | 1 | 1% |
| Unknown | 82 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 25% |
| Student > Master | 11 | 13% |
| Student > Bachelor | 7 | 8% |
| Researcher | 7 | 8% |
| Professor | 3 | 4% |
| Other | 10 | 12% |
| Unknown | 25 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 20 | 24% |
| Medicine and Dentistry | 8 | 10% |
| Computer Science | 7 | 8% |
| Neuroscience | 4 | 5% |
| Psychology | 3 | 4% |
| Other | 13 | 15% |
| Unknown | 29 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 09 January 2015.
All research outputs
#3,191,998
of 22,776,824 outputs
Outputs from BioMedical Engineering OnLine
#76
of 824 outputs
Outputs of similar age
#47,470
of 352,043 outputs
Outputs of similar age from BioMedical Engineering OnLine
#2
of 30 outputs
Altmetric has tracked 22,776,824 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 824 research outputs from this source. They receive a mean Attention Score of 4.6. 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 352,043 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 86% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.