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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Development of predicitve models to distinguish metals from non-metal toxicants, and individual metal from one another
|
|---|---|
| Published in |
BMC Bioinformatics, December 2020
|
| DOI | 10.1186/s12859-020-3525-7 |
| Pubmed ID | |
| Authors |
Zongtao Yu, Yuanyuan Fu, Junmei Ai, Jicai Zhang, Gang Huang, Youping Deng |
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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 29% |
| Student > Bachelor | 2 | 29% |
| Other | 1 | 14% |
| Student > Master | 1 | 14% |
| Researcher | 1 | 14% |
| Other | 0 | 0% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 57% |
| Environmental Science | 1 | 14% |
| Computer Science | 1 | 14% |
| Chemistry | 1 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 December 2020.
All research outputs
#15,656,702
of 23,267,128 outputs
Outputs from BMC Bioinformatics
#5,458
of 7,369 outputs
Outputs of similar age
#306,551
of 509,311 outputs
Outputs of similar age from BMC Bioinformatics
#132
of 164 outputs
Altmetric has tracked 23,267,128 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,369 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 18th percentile – i.e., 18% of its peers scored the same or lower than it.
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 509,311 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 164 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.