You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
PINP: A New Method of Tagging Neuronal Populations for Identification during In Vivo Electrophysiological Recording
|
|---|---|
| Published in |
PLOS ONE, July 2009
|
| DOI | 10.1371/journal.pone.0006099 |
| Pubmed ID | |
| Authors |
Susana Q. Lima, Tomáš Hromádka, Petr Znamenskiy, Anthony M. Zador |
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 % |
|---|---|---|
| United States | 1 | 50% |
| Switzerland | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 704 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 24 | 3% |
| Switzerland | 5 | <1% |
| Germany | 3 | <1% |
| United Kingdom | 3 | <1% |
| Portugal | 2 | <1% |
| France | 2 | <1% |
| Austria | 2 | <1% |
| Japan | 2 | <1% |
| Finland | 1 | <1% |
| Other | 4 | <1% |
| Unknown | 656 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 195 | 28% |
| Researcher | 187 | 27% |
| Student > Master | 56 | 8% |
| Student > Bachelor | 46 | 7% |
| Professor > Associate Professor | 40 | 6% |
| Other | 107 | 15% |
| Unknown | 73 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 295 | 42% |
| Neuroscience | 215 | 31% |
| Medicine and Dentistry | 34 | 5% |
| Engineering | 20 | 3% |
| Psychology | 12 | 2% |
| Other | 38 | 5% |
| Unknown | 90 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 34. 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 10 July 2022.
All research outputs
#1,005,473
of 22,828,180 outputs
Outputs from PLOS ONE
#13,597
of 194,843 outputs
Outputs of similar age
#2,815
of 109,924 outputs
Outputs of similar age from PLOS ONE
#41
of 496 outputs
Altmetric has tracked 22,828,180 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 194,843 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one has done particularly well, scoring higher than 93% 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 109,924 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 97% of its contemporaries.
We're also able to compare this research output to 496 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.