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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Development of a User-Friendly App for Assisting Anticoagulation Treatment.
|
|---|---|
| Chapter number | 27 |
| Book title |
Multiplex Biomarker Techniques
|
| Published in |
Methods in molecular biology, January 2017
|
| DOI | 10.1007/978-1-4939-6730-8_27 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6729-2, 978-1-4939-6730-8
|
| Authors |
Johannes Vegt |
| Editors |
Paul C. Guest |
| Abstract |
Blood coagulation time is an important factor to consider for postoperative and cardiac disorder patients who have been prescribed anticoagulant coagulant medications. This chapter describes a patient self-management system for assessment of blood coagulation times and determining appropriate anticoagulant dosages using a test strip device and the Coagu app. This app can also be used as a patient reminder of treatment times and to monitor treatment and effects over time. |
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 % |
|---|---|---|
| Germany | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 27% |
| Student > Master | 2 | 18% |
| Student > Bachelor | 1 | 9% |
| Other | 1 | 9% |
| Researcher | 1 | 9% |
| Other | 1 | 9% |
| Unknown | 2 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 2 | 18% |
| Medicine and Dentistry | 2 | 18% |
| Computer Science | 1 | 9% |
| Nursing and Health Professions | 1 | 9% |
| Psychology | 1 | 9% |
| Other | 1 | 9% |
| Unknown | 3 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 31 March 2017.
All research outputs
#13,801,581
of 22,908,162 outputs
Outputs from Methods in molecular biology
#3,877
of 13,132 outputs
Outputs of similar age
#218,033
of 420,477 outputs
Outputs of similar age from Methods in molecular biology
#340
of 1,074 outputs
Altmetric has tracked 22,908,162 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,132 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 69% 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 420,477 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,074 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 67% of its contemporaries.