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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An efficient biosorption‐based dispersive liquid‐liquid microextraction with extractant removal by magnetic nanoparticles for quantification of bisphenol A in water samples by gas chromatography‐mass spectrometry detection
|
|---|---|
| Published in |
Journal of Separation Science (JSS) (formerly Journal of High Resolution Chromatography), July 2020
|
| DOI | 10.1002/jssc.201901194 |
| Pubmed ID | |
| Authors |
Nur Ezwan Anis Muhd Subuhi, Salwani Md Saad, Nur Nadhirah Mohamad Zain, Vuanghao Lim, Mazidatulakmam Miskam, Sazlinda Kamaruzaman, Muggundha Raoov, Noorfatimah Yahaya |
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 % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 19% |
| Librarian | 2 | 7% |
| Student > Master | 2 | 7% |
| Lecturer | 1 | 4% |
| Student > Doctoral Student | 1 | 4% |
| Other | 4 | 15% |
| Unknown | 12 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 4 | 15% |
| Chemical Engineering | 2 | 7% |
| Environmental Science | 2 | 7% |
| Business, Management and Accounting | 1 | 4% |
| Agricultural and Biological Sciences | 1 | 4% |
| Other | 5 | 19% |
| Unknown | 12 | 44% |
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 28 June 2020.
All research outputs
#20,667,544
of 25,387,668 outputs
Outputs from Journal of Separation Science (JSS) (formerly Journal of High Resolution Chromatography)
#2,137
of 3,586 outputs
Outputs of similar age
#331,679
of 432,302 outputs
Outputs of similar age from Journal of Separation Science (JSS) (formerly Journal of High Resolution Chromatography)
#26
of 41 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,586 research outputs from this source. They receive a mean Attention Score of 2.4. 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 432,302 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.