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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Cross-reactivity of steroid hormone immunoassays: clinical significance and two-dimensional molecular similarity prediction
|
|---|---|
| Published in |
BMC Clinical Pathology, July 2014
|
| DOI | 10.1186/1472-6890-14-33 |
| Pubmed ID | |
| Authors |
Matthew D Krasowski, Denny Drees, Cory S Morris, Jon Maakestad, John L Blau, Sean Ekins |
| Abstract |
Immunoassays are widely used in clinical laboratories for measurement of plasma/serum concentrations of steroid hormones such as cortisol and testosterone. Immunoassays can be performed on a variety of standard clinical chemistry analyzers, thus allowing even small clinical laboratories to do analysis on-site. One limitation of steroid hormone immunoassays is interference caused by compounds with structural similarity to the target steroid of the assay. Interfering molecules include structurally related endogenous compounds and their metabolites as well as drugs such as anabolic steroids and synthetic glucocorticoids. |
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 % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 174 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | <1% |
| United States | 1 | <1% |
| Germany | 1 | <1% |
| Unknown | 171 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 26 | 15% |
| Student > Bachelor | 25 | 14% |
| Researcher | 22 | 13% |
| Student > Master | 18 | 10% |
| Other | 13 | 7% |
| Other | 26 | 15% |
| Unknown | 44 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 36 | 21% |
| Biochemistry, Genetics and Molecular Biology | 22 | 13% |
| Agricultural and Biological Sciences | 19 | 11% |
| Chemistry | 18 | 10% |
| Veterinary Science and Veterinary Medicine | 5 | 3% |
| Other | 20 | 11% |
| Unknown | 54 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 September 2020.
All research outputs
#2,645,273
of 22,758,963 outputs
Outputs from BMC Clinical Pathology
#5
of 116 outputs
Outputs of similar age
#27,631
of 226,895 outputs
Outputs of similar age from BMC Clinical Pathology
#1
of 9 outputs
Altmetric has tracked 22,758,963 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 116 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 95% 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 226,895 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 87% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them