| Title |
Bartonella henselae DNA in Seronegative Patients with Cat-Scratch Disease - Volume 24, Number 5—May 2018 - Emerging Infectious Diseases journal - CDC
|
|---|---|
| Published in |
Emerging Infectious Diseases, May 2018
|
| DOI | 10.3201/eid2405.152033 |
| Pubmed ID | |
| Authors |
Masashi Yanagihara, Hidehiro Tsuneoka, Ayano Tanimoto, Ken-ichiro Otsuyama, Jun Nishikawa, Tomohiro Matsui, Junzo Nojima, Kiyoshi Ichihara |
| Abstract |
We used real-time PCR to detect Bartonella henselae DNA in 7.9% (5/63) of blood specimens from seronegative patients in Japan suspected of having cat-scratch disease. The combined use of serologic tests and real-time PCR to analyze blood specimens is recommended for the prompt, noninvasive laboratory diagnosis of cat-scratch disease. |
X Demographics
The data shown below were collected from the profiles of 48 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 | 7 | 15% |
| United Kingdom | 7 | 15% |
| Turkey | 6 | 13% |
| Canada | 3 | 6% |
| Norway | 1 | 2% |
| Japan | 1 | 2% |
| Unknown | 23 | 48% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 42 | 88% |
| Practitioners (doctors, other healthcare professionals) | 3 | 6% |
| Scientists | 1 | 2% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
| Unknown | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 4 | 19% |
| Researcher | 3 | 14% |
| Student > Bachelor | 3 | 14% |
| Student > Doctoral Student | 2 | 10% |
| Student > Master | 2 | 10% |
| Other | 1 | 5% |
| Unknown | 6 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 19% |
| Computer Science | 2 | 10% |
| Medicine and Dentistry | 2 | 10% |
| Agricultural and Biological Sciences | 2 | 10% |
| Immunology and Microbiology | 2 | 10% |
| Other | 2 | 10% |
| Unknown | 7 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 35. 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 17 December 2018.
All research outputs
#1,163,062
of 25,432,721 outputs
Outputs from Emerging Infectious Diseases
#1,315
of 9,725 outputs
Outputs of similar age
#25,306
of 339,294 outputs
Outputs of similar age from Emerging Infectious Diseases
#18
of 114 outputs
Altmetric has tracked 25,432,721 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,725 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.7. This one has done well, scoring higher than 86% 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 339,294 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 114 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.