Borrelia burgdorferi
Springer US
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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Clinical Algorithm and Diagnostic Tools for Lyme Disease.
|
|---|---|
| Book title |
Borrelia burgdorferi
|
| Published in |
Methods in molecular biology, January 2024
|
| DOI | 10.1007/978-1-0716-3561-2_16 |
| Pubmed ID | |
| Book ISBNs |
978-1-07-163560-5, 978-1-07-163561-2
|
| Authors |
García-Bretón, Gisell, Rojas-Castro, Flor C, Espino-Vázquez, Astrid N, Fajardo-Yamamoto, Liria M, Rojas-Castro, Flor C., Espino-Vázquez, Astrid N., Fajardo-Yamamoto, Liria M. |
| Abstract |
Lyme disease (LD) is the prototype of tick-borne infections. The broad spectrum of LD symptomatology, together with the tremendous variety of sensibility and specificity of diagnostic tests, poses a complex challenge for LD diagnosis. Here, we propose a clinical algorithm for Lyme patients to prevent treatment delay in suspicious scenarios. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 1 | 100% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 1 | 100% |
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 03 May 2024.
All research outputs
#17,055,759
of 25,839,971 outputs
Outputs from Methods in molecular biology
#5,454
of 14,384 outputs
Outputs of similar age
#179,426
of 358,447 outputs
Outputs of similar age from Methods in molecular biology
#98
of 326 outputs
Altmetric has tracked 25,839,971 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,384 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 57% 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 358,447 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 326 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 61% of its contemporaries.