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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Supervised prediction of drug-induced nephrotoxicity based on interleukin-6 and -8 expression levels
|
|---|---|
| Published in |
BMC Bioinformatics, December 2014
|
| DOI | 10.1186/1471-2105-15-s16-s16 |
| Pubmed ID | |
| Authors |
Ran Su, Yao Li, Daniele Zink, Lit-Hsin Loo |
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 % |
|---|---|---|
| Unknown | 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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 6 | 13% |
| Researcher | 6 | 13% |
| Student > Ph. D. Student | 5 | 11% |
| Professor > Associate Professor | 3 | 6% |
| Student > Master | 3 | 6% |
| Other | 5 | 11% |
| Unknown | 19 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 7 | 15% |
| Medicine and Dentistry | 7 | 15% |
| Biochemistry, Genetics and Molecular Biology | 4 | 9% |
| Computer Science | 3 | 6% |
| Business, Management and Accounting | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 23 | 49% |
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 01 June 2017.
All research outputs
#7,214,124
of 22,803,211 outputs
Outputs from BMC Bioinformatics
#2,863
of 7,281 outputs
Outputs of similar age
#102,504
of 360,957 outputs
Outputs of similar age from BMC Bioinformatics
#49
of 138 outputs
Altmetric has tracked 22,803,211 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 7,281 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 59% 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 360,957 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 70% of its contemporaries.
We're also able to compare this research output to 138 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 64% of its contemporaries.