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X Demographics
Mendeley readers
Attention Score in Context
| Title |
68Ga-DOTA-Siglec-9 PET/CT imaging of peri-implant tissue responses and staphylococcal infections
|
|---|---|
| Published in |
EJNMMI Research, August 2014
|
| DOI | 10.1186/s13550-014-0045-3 |
| Pubmed ID | |
| Authors |
Helena Ahtinen, Julia Kulkova, Laura Lindholm, Erkki Eerola, Antti J Hakanen, Niko Moritz, Mirva Söderström, Tiina Saanijoki, Sirpa Jalkanen, Anne Roivainen, Hannu T Aro |
| Abstract |
Staphylococcus epidermidis (S. epidermidis) has emerged as one of the leading pathogens of biomaterial-related infections. Vascular adhesion protein-1 (VAP-1) is an inflammation-inducible endothelial molecule controlling extravasation of leukocytes. Sialic acid-binding immunoglobulin-like lectin 9 (Siglec-9) is a leukocyte ligand of VAP-1. We hypothesized that (68)Ga-labeled 1,4,7,10-tetraazacyclododecane-1,4,7,10-tetraacetic acid-conjugated Siglec-9 motif containing peptide ((68)Ga-DOTA-Siglec-9) could detect inflammatory response due to S. epidermidis peri-implant infection by positron emission tomography (PET). |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 2 | 4% |
| Unknown | 43 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 24% |
| Student > Master | 6 | 13% |
| Student > Ph. D. Student | 6 | 13% |
| Student > Bachelor | 3 | 7% |
| Student > Doctoral Student | 2 | 4% |
| Other | 10 | 22% |
| Unknown | 7 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 24% |
| Agricultural and Biological Sciences | 5 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 9% |
| Chemistry | 4 | 9% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Other | 9 | 20% |
| Unknown | 10 | 22% |
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 19 December 2014.
All research outputs
#20,246,428
of 22,774,233 outputs
Outputs from EJNMMI Research
#384
of 555 outputs
Outputs of similar age
#193,903
of 230,515 outputs
Outputs of similar age from EJNMMI Research
#3
of 4 outputs
Altmetric has tracked 22,774,233 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 555 research outputs from this source. They receive a mean Attention Score of 2.5. This one is in the 1st percentile – i.e., 1% 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 230,515 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.