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Mendeley readers
Attention Score in Context
Title |
The Chediak-Higashi Protein Interacts with SNARE Complex and Signal Transduction Proteins
|
---|---|
Published in |
Molecular Medicine, January 2002
|
DOI | 10.1007/bf03402003 |
Pubmed ID | |
Authors |
Velizar T. Tchernev, Traci A. Mansfield, Loic Giot, A. Madan Kumar, Krishnan Nandabalan, Ying Li, Vishnu S. Mishra, John C. Detter, Jonathan M. Rothberg, Margaret R. Wallace, Frederick S. Southwick, Stephen F. Kingsmore |
Abstract |
Chediak-Higashi syndrome (CHS) is an inherited immunodeficiency disease characterized by giant lysosomes and impaired leukocyte degranulation. CHS results from mutations in the lysosomal trafficking regulator (LYST) gene, which encodes a 425-kD cytoplasmic protein of unknown function. The goal of this study was to identify proteins that interact with LYST as a first step in understanding how LYST modulates lysosomal exocytosis. |
Mendeley readers
The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 1% |
Denmark | 1 | 1% |
Germany | 1 | 1% |
Unknown | 75 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 18 | 23% |
Researcher | 13 | 17% |
Student > Bachelor | 10 | 13% |
Student > Master | 8 | 10% |
Student > Doctoral Student | 4 | 5% |
Other | 11 | 14% |
Unknown | 14 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 26 | 33% |
Biochemistry, Genetics and Molecular Biology | 14 | 18% |
Medicine and Dentistry | 9 | 12% |
Engineering | 3 | 4% |
Neuroscience | 3 | 4% |
Other | 4 | 5% |
Unknown | 19 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 28 December 2022.
All research outputs
#8,759,452
of 25,837,817 outputs
Outputs from Molecular Medicine
#437
of 1,221 outputs
Outputs of similar age
#34,314
of 135,708 outputs
Outputs of similar age from Molecular Medicine
#4
of 11 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,221 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one is in the 39th percentile – i.e., 39% 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 135,708 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.